Hummel, R.A.[Robert A.],
Histogram Modification Techniques,
CGIP(4), No. 3, September 1975, pp. 209-224.
Elsevier DOI Analysis of transformations.
BibRef
7509
Frei, W.[Werner],
Image Enhancement by Histogram Hyperbolization,
CGIP(6), No. 3, June 1977, pp. 286-294.
Elsevier DOI Contrast enhancement.
BibRef
7706
Blumenthal, A.F.,
Davis, L.S.,
Rosenfeld, A.,
Detecting Natural 'Plateaus' in One-Dimensional Patterns,
TC(26), 1977, pp. 178-179.
BibRef
7700
Leboucher, G.,
Lowitz, G.E.,
What a Histogram Can Really Tell the Classifier,
PR(10), No. 5-6, 1978, pp. 351-357.
Elsevier DOI
See also What the Fourier Transform Can Really Bring to Clustering.
BibRef
7800
Nahin, P.J.,
A Simplified Derivation of Frei's Histogram Hyperbolization for
Image Enhancement,
PAMI(1), No. 4, October 1979, 414-415.
See also Image Enhancement by Histogram Hyperbolization.
BibRef
7910
Ridler, T.W., and
Calvard, S.,
Picture Thresholding Using an Iterative Selection Method,
SMC(8), No. 8, August 1978, pp. 629-632.
Segmentation, Binarization.
Guess the object and background level, choose a threshold, update the
guess and the threshold. For bi-modal histograms, to find a threshold
between the means.
BibRef
7808
Suk, M.[Min_Soo],
Chung, S.M.[Soon-Myoung],
A New Image Segmentation Technique Based on Partition Mode Test,
PR(16), No. 5, 1983, pp. 469-480.
Elsevier DOI Can be used for finding multiple motions.
BibRef
8300
Rix, H.,
Separation of Equal Shape Overlapping Peaks,
SP(5), 1983, pp. 97-103.
BibRef
8300
Ku, F.N.[Fu-Nian],
The Principles and Methods of Histogram Modification Adapted for
Visual Perception,
CVGIP(26), No. 1, April 1984, pp. 107-117.
Elsevier DOI
BibRef
8404
Kautsky, J.[Jaroslav],
Nichols, N.K.[Nancy K.],
Jupp, D.L.B.[David L.B.],
Smoothed Histogram Modification for Image Processing,
CVGIP(26), No. 3, June 1984, pp. 271-291.
Elsevier DOI
BibRef
8406
Jain, R., and
Chlamtac, I.,
The P(2) Algorithm for Dynamic Calculation of Quantiles and Histograms
without Storing Observations,
CACM(28), No. 10, October 1985, pp. 1076-1085.
BibRef
8510
Zito, R.R.[Richard R.],
The Shape of SAR Histograms,
CVGIP(43), No. 3, September 1988, pp. 281-293.
Elsevier DOI Allow the mode of the Rayleigh distribution to possess a distribution
of values all its own.
BibRef
8809
Lee, S.U.[Sang Uk],
Chung, S.Y.[Seok Yoon],
Park, R.H.[Rae Hong],
A Comparative Performance Study of Several Global Thresholding
Techniques for Segmentation,
CVGIP(52), No. 2, November 1990, pp. 171-190.
Elsevier DOI
Evaluation, Segmentation.
Segmentation, Evaluation.
Thresholds, Evaluation. Compares 5 different techniques
(
See also Minimum Error Thresholding.
See also Threshold Selection Method from Grey-Level Histograms, A.
See also New Method for Gray-Level Picture Thresholding Using the Entropy of the Histogram, A.
See also Moment-Preserving Thresholding: A New Approach. and
See also Threshold Selection Using Quadtrees. ).
The first two were rated best (Simple image statistic
and Between class variance).
BibRef
9011
Rosenfeld, A., and
Davis, L.S.,
Iterative Histogram Modification,
SMC(8), No. 4, 1978, pp. 300-302.
BibRef
7800
Peleg, S.,
Iterative Histogram Modification,
SMC(8), No. 7, 1978, pp. 555-556.
BibRef
7800
Otsu, N.,
A Threshold Selection Method from Grey-Level Histograms,
SMC(9), No. 1, January 1979, pp. 62-66.
A Variance measure for threshold selection.
Compared in:
See also Comparative Performance Study of Several Global Thresholding Techniques for Segmentation, A. Analysis in:
See also Comment on Using the Uniformity Measure for Performance-Measure in Image Segmentation. Code:
See also C++ Implementation of Otsu's Image Segmentation Method, A.
BibRef
7901
Kurita, T.,
Otsu, N., and
Abdelmalek, N.,
Maximum Likelihood Thresholding Based on Population Mixture Models,
PR(25), No. 10, October 1992, pp. 1231-1240.
Elsevier DOI
BibRef
9210
Rosenfeld, A., and
de la Torre, F.[Fernando],
Histogram Concavity Analysis as an Aid in Threshold Selection,
SMC(13), No. 3, March 1983, pp. 231-235.
BibRef
8303
Boukharouba, S.,
Rebordao, J.M., and
Wendel, P.L.,
An Amplitude Segmentation Method Based on the Distribution
Function of an Image,
CVGIP(29), No. 1, January 1985, pp. 47-59.
Elsevier DOI Use the curvature of the cumulative histogram for determining
the place to perform the threshold. Results are unclear, since
they are using it for image compression or coding rather than
standard segmentation.
Further derivation:
See also Peak Detection Algorithm and Its Application to Histogram-Based Image Data Reduction, A.
BibRef
8501
Wang, S.[Shyuan], and
Haralick, R.M.[Robert M.],
Automatic Multithreshold Selection,
CVGIP(25), No. 1, January 1984, pp. 46-67.
Elsevier DOI A recursive segmentation technique that looks at edge pixel values
separated by those on the "bright" and "dark" side of the edge.
BibRef
8401
Wu, A.Y.,
Hong, T.H., and
Rosenfeld, A.,
Threshold Selection Using Quadtrees,
PAMI(4), No. 1, January 1982, pp. 90-94.
Segmentation, Multi-Level.
Histogram based thresholds using the quadtree representation to
eliminate small features.
Compared in :
See also Comparative Performance Study of Several Global Thresholding Techniques for Segmentation, A.
BibRef
8201
Weszka, J.S.,
Nagel, R.N., and
Rosenfeld, A.,
A Threshold Selection Technique,
TC(23), 1974, pp. 1322-1326.
BibRef
7400
Earlier:
A Technique for Facilitating Threshold Selection for
Object Extraction from Digital Pictures,
UMDTR, 1973.
BibRef
Weszka, J.S., and
Rosenfeld, A.,
Histogram Modification for Threshold Selection,
SMC(9), No. 1, January 1979, pp. 38-52.
BibRef
7901
Weszka, J.S., and
Rosenfeld, A.,
Threshold Evaluation Techniques,
SMC(8), 1978, pp. 622-629.
Thresholds, Evaluation.
BibRef
7800
Pal, S.K., and
Pal, N.R.,
Segmentation Based on Measures of Contrast,
Homogeneity, and Region Size,
SMC(17), No. 5, Sept/October 1987, pp. 857-868.
It also includes some region merging.
BibRef
8710
Murthy, C.A.,
Pal, S.K.,
Histogram Thresholding by Minimizing Graylevel Fuzziness,
IS(60), 1992, pp. 107-135.
BibRef
9200
Sahasrabudhe, S.C.,
Das Gupta, K.S.,
A Valley-Seeking Threshold Selection Technique,
CVIP92(55-65).
BibRef
9200
Pal, S.K.,
Das Gupta, A.,
Spectral Fuzzy Sets and Soft Thresholding,
IS(65), 1992, pp. 65-97.
BibRef
9200
Kapur, J.N.,
Sahoo, P.K., and
Wong, A.K.C.,
A New Method for Gray-Level Picture Thresholding Using the
Entropy of the Histogram,
CVGIP(29), No. 3, 1985, pp. 273-285.
Elsevier DOI Histogram based threshold selection of a single threshold to
binarize the image based on the entropy measure. Bi-modal histograms.
Interesting
results, not clear what it means for region segmentation. Has a set
of references of threshold selection methods.
The extension to mulit-modal has efficiency problems.
(
See also Parallel Entropic Auto-Thresholding. )
Compared in :
See also Comparative Performance Study of Several Global Thresholding Techniques for Segmentation, A.
BibRef
8500
Kapur, J.N.,
Application of entropic measures of stochastic dependence in pattern
recognition,
PR(19), No. 6, 1986, pp. 473-476.
Elsevier DOI
0309
BibRef
Wong, A.K.C., and
Sahoo, P.K.,
A Gray-Level Threshold Selection Method Based on
Maximum Entropy Principle,
SMC(19), No. 4, July 1989, pp. 866-871.
BibRef
8907
Sahoo, P.K.[Prasanna K.],
Wilkins, C.[Carrye],
Yeager, J.[Jerry],
Threshold Selection Using Renyis Entropy,
PR(30), No. 1, January 1997, pp. 71-84.
Elsevier DOI
9702
BibRef
Sahoo, P.K.[Prasanna K.],
Arora, G.[Gurdial],
A thresholding method based on two-dimensional Renyi's entropy,
PR(37), No. 6, June 2004, pp. 1149-1161.
Elsevier DOI
0405
BibRef
Sahoo, P.K.[Prasanna K.],
Arora, G.[Gurdial],
Image thresholding using two-dimensional Tsallis-Havrda-Charvát
entropy,
PRL(27), No. 6, 15 April 2006, pp. 520-528.
Elsevier DOI Image segmentation; Thresholding; Tsallis-Havrda-Charvát entropy
0604
BibRef
Borjigin, S.[Surina],
Sahoo, P.K.[Prasanna K.],
Color image segmentation based on multi-level Tsallis-Havrda-Charvát
entropy and 2D histogram using PSO algorithms,
PR(92), 2019, pp. 107-118.
Elsevier DOI
1905
Color image segmentation, Multi-level thresholding,
Two-dimensional histogram, Tsallis-Havrda-Charvát entropy, PSO
BibRef
Lim, Y.W.[Young Won],
Lee, S.U.[Sang Uk],
On the Color Image Segmentation
Algorithm Based on the Thresholding and the Fuzzy C-Means Techniques,
PR(23), No. 9, 1990, pp. 935-952.
Elsevier DOI Hierarchical segmentation using a scale space filter.
BibRef
9000
Tsai, W.H.,
Moment-Preserving Thresholding: A New Approach,
CVGIP(29), No. 3, March 1985, pp. 377-393.
Another threshold selection method based on histogram analysis,
the moments are preserved in the thresholded image.
Compared in :
See also Comparative Performance Study of Several Global Thresholding Techniques for Segmentation, A.
See also Moment-Preserving Sharpening: A New Approach to Digital Picture Deblurring.
BibRef
8503
Carlotto, M.J.[Mark J.],
Histogram Analysis Using A Scale Space Approach,
PAMI(9), No. 1, January 1987, pp. 121-129.
BibRef
8701
Earlier:
CVPR85(334-340).
Scale Space. The Analytic Sciences Corp.
Approximate the histogram by a sum of gaussian distributions.
This gives better threshold choices. The modeling is done using
different size gaussian smoothing functions.
BibRef
Pizer, S.M.[Stephen M.],
Amburn, E.P.[E. Philip],
Austin, J.D.[John D.],
Cromartie, R.[Robert],
Geselowitz, A.[Ari],
Greer, T.[Trey],
ter Haar Romeny, B.M.[Bart M.],
Zimmerman, J.B.[John B.],
Zuiderveld, K.[Karel],
Adaptive Histogram Equalization and Its Variations,
CVGIP(39), No. 3, September 1987, pp. 355-368.
Elsevier DOI
BibRef
8709
Touzani, A., and
Postaire, J.G.,
Mode Detection by Relaxation,
PAMI(10), No. 6, November 1988, pp. 970-978.
IEEE DOI
BibRef
8811
Sezan, M.I.[M. Ibrahim],
A Peak Detection Algorithm and Its Application to
Histogram-Based Image Data Reduction,
CVGIP(49), No. 1, January 1990, pp. 36-51.
Elsevier DOI Find the peaks and use them to quantize the image for
data reduction and reconstruction.
Derived from
See also Amplitude Segmentation Method Based on the Distribution Function of an Image, An. using a simpler filter on
the histogram.
BibRef
9001
Jolion, J.M.[Jean-Michel], and
Rosenfeld, A.[Azriel],
Coarse-Fine Bimodality Analysis of Circular Histogram,
PRL(10), 1989, pp. 201-207.
Pyramid Technique.
BibRef
8900
Leszczynski, K.W.[Konrad W.],
Shalev, S.[Shlomo],
A Robust Algorithm for Contrast Enhancement by
Local Histogram Modification,
IVC(7), No. 3, August 1989, pp. 205-209.
Elsevier DOI Moving Histogram Equalization.
BibRef
8908
O'Gorman, L.[Lawrence],
A Note on Histogram Equalization for
Optimal Intensity Range Utilization,
CVGIP(41), No. 2, February 1988, pp. 229-232.
Elsevier DOI HE does not optimally use the intensity range.
BibRef
8802
McCallum, A.J.,
Bowman, C.C.,
Daniels, P.A.,
Batchelor, B.G.,
A Histogram Modification Unit for Real-Time Image Enhancement,
CVGIP(42), No. 3, June 1988, pp. 387-398.
Elsevier DOI For TV frames that don't change much between frames.
BibRef
8806
Chochia, P.A.[Pavel A.],
Image Enhancement Using Sliding Histograms,
CVGIP(44), No. 2, November 1988, pp. 211-229.
Elsevier DOI
BibRef
8811
Brunelli, R.,
Optimal Histogram Partitioning Using a Simulated Annealing Technique,
PRL(13), 1992, pp. 581-586.
Relaxation algorithm to select appropriate thresholds.
BibRef
9200
Tsai, D.M., and
Chen, Y.H.,
A Fast Histogram-Clustering Approach for Multi-Level Thresholding,
PRL(13), 1992, pp. 245-252.
Number of peaks must be known or spurious thresholds will be selected.
BibRef
9200
Tsai, D.M.,
A Fast Thresholding Selection Procedure for Multimodal and
Unimodal Histograms,
PRL(16), No. 6, June 1995, pp. 653-666.
Segmentation, Unimodal.
BibRef
9506
Gauch, J.M.[John M.],
Investigations of Image Contrast Space Defined by
Variations on Histogram Equalization,
GMIP(54), No. 4, July 1992, pp. 269-280.
BibRef
9207
Glasbey, C.A.,
An Analysis of Histogram-Based Thresholding Algorithms,
GMIP(55), No. 6, November 1993, pp. 532-yy.
BibRef
9311
Hayat, L.,
Fleury, M.,
Clark, A.F.,
Candidate Functions For A Parallel Multilevel Thresholding Technique,
GMIP(58), No. 4, July 1996, pp. 360-381.
9609
Find modes in a gray-level histogram.
Compares most standard techniques that can be parallelized.
BibRef
Fleury, M.,
Hayat, L.,
Clark, A.F.,
Parallel Entropic Auto-Thresholding,
IVC(14), No. 4, May 1996, pp. 247-263.
Elsevier DOI
9607
Attempts to extend
See also New Method for Gray-Level Picture Thresholding Using the Entropy of the Histogram, A. to multiple modes.
Peaks are selected by simple clipping approach.
BibRef
Caglioti, V.,
Maniezzo, V.,
Mode Determination in Noisy Bimodal Images by Histogram Comparison,
PRL(16), No. 12, December 1995, pp. 1237-1248.
BibRef
9512
Stark, J.A.,
Fitzgerald, W.J.,
An Alternative Algorithm for Adaptive Histogram Equalization,
GMIP(58), No. 2, March 1996, pp. 180-185.
BibRef
9603
Yang, C.W.,
Chung, P.C.,
Chang, C.,
Hierarchical Fast 2-Dimensional Entropic Thresholding Algorithm
Using a Histogram Pyramid,
OptEng(35), No. 11, November 1996, pp. 3227-3241.
9612
BibRef
Chen, W.T.[Wen-Tsuen],
Wen, C.H.[Chia-Hsien],
Yang, C.W.[Chin-Wen],
A Fast 2-Dimensional Entropic Thresholding Algorithm,
PR(27), No. 7, July 1994, pp. 885-893.
Elsevier DOI
BibRef
9407
Jansen, R.C.,
Reinink, K.,
van der Heijden, G.W.A.M.,
Analysis of Gray Level Histograms by Using Statistical Methods
for Mixtures of Distributions,
PRL(14), 1993, pp. 585-590.
BibRef
9300
Davies, E.R.,
Lateral Histograms for Efficient Object Location:
Speed Versus Ambiguity,
PRL(6), 1987, pp. 189-198.
BibRef
8700
Davies, E.R.,
A Sampling Approach to Ultra-fast Object Location,
RealTimeImg(7), No. 4, August 2001, pp. 339-355.
DOI Link
0110
See also skimming technique for fast accurate edge detection, A.
BibRef
Guo, R.,
Pandit, S.M.,
Automatic Threshold Selection Based on Histogram Modes and a
Discriminant Criterion,
MVA(10), No. 5-6, April 1998, pp. 331-338.
Springer DOI
9805
BibRef
Li, C.H.,
Tam, P.K.S.,
Modular Expert Network Approach to Histogram Thresholding,
JEI(6), No. 3, July 1997, pp. 286-293.
9807
BibRef
Kurugollu, F.[Fatih],
Sankur, B.[Bülent],
Harmanc, A.E.[A. Emre],
Color image segmentation using histogram multithresholding and fusion,
IVC(19), No. 13, November 2001, pp. 915-928.
Elsevier DOI
0111
See also Image segmentation by relaxation using constraint satisfaction neural network.
BibRef
Bonnet, N.,
Cutrona, J.,
Herbin, M.,
A 'no-threshold' histogram-based image segmentation method,
PR(35), No. 10, October 2002, pp. 2319-2322.
Elsevier DOI
0206
BibRef
Shah-Hosseini, H.[Hamed],
Safabakhsh, R.[Reza],
Automatic Multilevel Thresholding for Image Segmentation by the Growing
Time Adaptive Self-Organizing Map,
PAMI(24), No. 10, October 2002, pp. 1388-1393.
IEEE Abstract.
0210
Compare to
See also New Approach For Multilevel Threshold Selection, A.
See also New Method for Gray-Level Picture Thresholding Using the Entropy of the Histogram, A. and
See also Image Segmentation by a Parallel, Non-Parametric Histogram Based Clustering Algorithm.
BibRef
Shah-Hosseini, H.[Hamed],
Safabakhsh, R.[Reza],
A TASOM-based algorithm for active contour modeling,
PRL(24), No. 9-10, June 2003, pp. 1361-1373.
Elsevier DOI
0304
TASOM: Time Adaptive Self-Organizing Map.
BibRef
Sadeghi, F.[Fereshteh],
Izadinia, H.[Hamid],
Safabakhsh, R.[Reza],
A new active contour model based on the Conscience, Archiving and
Mean-Movement mechanisms and the SOM,
PRL(32), No. 12, 1 September 2011, pp. 1622-1634.
Elsevier DOI
1108
Active contour model; Self-organizing map; Conscience; Archiving;
Mean-movement; Concavity extraction; CAMSOM
BibRef
Wang, Q.[Qing],
Chi, Z.[Zheru],
Zhao, R.C.[Rong-Chun],
Image Thresholding by Maximizing the Index of Nonfuzziness of the 2-D
Grayscale Histogram,
CVIU(85), No. 2, February 2002, pp. 100-116.
DOI Link
0210
BibRef
Tobias, O.J.,
Seara, R.[Rui],
Image segmentation by histogram thresholding using fuzzy sets,
IP(11), No. 12, December 2002, pp. 1457-1465.
IEEE DOI
0301
BibRef
Cheng, H.D.,
Jiang, X.H.,
Wang, J.L.[Jing-Li],
Color image segmentation based on homogram thresholding and region
merging,
PR(35), No. 2, February 2002, pp. 373-393.
Elsevier DOI
0201
BibRef
Baradez, M.O.,
McGuckin, C.P.,
Forraz, N.,
Pettengell, R.,
Hoppe, A.,
Robust and automated unimodal histogram thresholding and potential
applications,
PR(37), No. 6, June 2004, pp. 1131-1148.
Elsevier DOI
0405
BibRef
Hoppe, A.,
Baradez, M.O.,
Thresholding based on linear diffusion for feature segmentation,
BMVC03(xx-yy).
HTML Version.
0409
BibRef
Park, S.J.[Soo Jun],
Won, C.S.[Chee Sun],
Park, D.K.[Dong Kwon],
Choi, D.S.[Dong See],
Yoo, S.J.[Seong Joon],
Kim, H.J.[Hyun Jin],
Method for generating a block-based image histogram,
US_Patent6,807,298, Oct 19, 2004
WWW Link.
BibRef
0410
And:
US_Patent7,106,900, Sep 12, 2006
WWW Link. include color, brightness, and edge components
BibRef
Arifin, A.Z.[Agus Zainal],
Asano, A.[Akira],
Image segmentation by histogram thresholding using hierarchical cluster
analysis,
PRL(27), No. 13, 1 October 2006, pp. 1515-1521.
Elsevier DOI Image thresholding; Clustering; Inter-class variance; Intra-class variance
0606
BibRef
Qiao, Y.[Yu],
Hu, Q.M.[Qing-Mao],
Qian, G.Y.[Guo-Yu],
Luo, S.[Suhuai],
Nowinski, W.L.[Wieslaw L.],
Thresholding based on variance and intensity contrast,
PR(40), No. 2, February 2007, pp. 596-608.
Elsevier DOI
0611
Histogram; Intensity contrast; Small object segmentation; Prior knowledge
BibRef
Hu, Q.M.[Qing-Mao],
Luo, S.[Suhuai],
Qiao, Y.[Yu],
Qian, G.Y.[Guo-Yu],
Supervised grayscale thresholding based on transition regions,
IVC(26), No. 12, 1 December 2008, pp. 1677-1684.
Elsevier DOI
0810
Grayscale thresholding; Transition region; Supervision; Prior knowledge
BibRef
Zhang, C.L.[Chao-Lin],
Zhang, X.G.[Xue-Gong],
Zhang, M.Q.[Michael Q.],
Li, Y.[Yanda],
Neighbor number, valley seeking and clustering,
PRL(28), No. 2, 15 January 2007, pp. 173-180.
Elsevier DOI
0611
Nonparametric density estimation; Neighbor number; Valley seeking;
Shape-free clustering; Image segmentation
BibRef
Delon, J.[Julie],
Desolneux, A.[Agnes],
Lisani, J.L.[Jose Luis],
Petro, A.B.[Ana Belen],
A Nonparametric Approach for Histogram Segmentation,
IP(16), No. 1, January 2007, pp. 253-261.
IEEE DOI
0701
BibRef
Earlier:
Color Image Segmentation Using Acceptable Histogram Segmentation,
IbPRIA05(II:239).
Springer DOI
0509
Applied to documents.
Find small modes in the histogram.
See also Automatic 1D Histogram Segmentation and Application to the Computation of Color Palettes.
BibRef
Shortt, A.E.,
Naughton, T.J.,
Javidi, B.[Bahram],
Histogram Approaches for Lossy Compression of Digital Holograms of
Three-Dimensional Objects,
IP(16), No. 6, June 2007, pp. 1548-1556.
IEEE DOI
0706
BibRef
McElhinney, C.P.,
McDonald, J.B.,
Castro, A.[Albertina],
Frauel, Y.[Yann],
Javidi, B.[Bahram],
Naughton, T.J.,
Segmentation of three-dimensional objects from background in digital
holograms,
IMVIP07(41-46).
IEEE DOI
0709
BibRef
Nakib, A.,
Oulhadj, H.,
Siarry, P.[Patrick],
Non-supervised image segmentation based on multiobjective optimization,
PRL(29), No. 1, 15 January 2008, pp. 161-172.
Elsevier DOI
0711
Image segmentation; Otsu method; Gaussian curve fitting;
Multiobjective optimization; Simulated annealing
See also Threshold Selection Method from Grey-Level Histograms, A.
BibRef
Nakib, A.,
Oulhadj, H.,
Siarry, P.,
A thresholding method based on two-dimensional fractional
differentiation,
IVC(27), No. 9, 3 August 2009, pp. 1343-1357.
Elsevier DOI
0906
Two-dimensional fractional differentiation; Image thresholding; Image
segmentation
BibRef
Nakib, A.,
Schulze, Y.,
Petit, E.,
Image thresholding framework based on two-dimensional digital
fractional integration and Legendre moments',
IET-IPR(6), No. 6, 2012, pp. 717-727.
DOI Link
1210
BibRef
Hammouche, K.[Kamal],
Diaf, M.[Moussa],
Siarry, P.[Patrick],
A multilevel automatic thresholding method based on a genetic algorithm
for a fast image segmentation,
CVIU(109), No. 2, February 2008, pp. 163-175.
Elsevier DOI
0711
Thresholding; Image segmentation; Genetic algorithm
BibRef
Losson, O.[Olivier],
Botte-lecocq, C.[Claudine],
Macaire, L.[Ludovic],
Fuzzy Mode Enhancement and Detection for Color Image Segmentation,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link
0804
BibRef
Ni, K.Y.[Kang-Yu],
Bresson, X.[Xavier],
Chan, T.[Tony],
Esedoglu, S.[Selim],
Local Histogram Based Segmentation Using the Wasserstein Distance,
IJCV(84), No. 1, August 2009, pp. xx-yy.
Springer DOI
0905
BibRef
Earlier: A3, A4, A1, Only:
Histogram Based Segmentation Using Wasserstein Distances,
SSVM07(697-708).
Springer DOI
0705
BibRef
Vieira Lopes, N.,
Mogadouro do Couto, P.A.,
Bustince, H.,
Melo-Pinto, P.,
Automatic Histogram Threshold Using Fuzzy Measures,
IP(19), No. 1, January 2010, pp. 199-204.
IEEE DOI
1001
BibRef
Wang, N.[Na],
Li, X.[Xia],
Chen, X.H.[Xiao-Hong],
Fast three-dimensional Otsu thresholding with shuffled frog-leaping
algorithm,
PRL(31), No. 13, 1 October 2010, pp. 1809-1815.
Elsevier DOI
1003
See also Threshold Selection Method from Grey-Level Histograms, A. Image segmentation; 3-D Otsu thresholding; Shuffled frog-leaping
algorithm; Optimization
BibRef
Krstinic, D.,
Skelin, A.K.,
Slapnicar, I.,
Fast two-step histogram-based image segmentation,
IET-IPR(5), No. 1, February 2011, pp. 63-72.
DOI Link
1103
BibRef
Yang, W.J.[Wen-Jia],
Dou, L.H.[Li-Hua],
Zhan, J.[Juan],
A Multi-histogram Clustering Approach Toward Markov Random Field For
Foreground Segmentation,
IJIG(11), No. 1, January 2011, pp. 65-81.
DOI Link
1103
BibRef
Vazquez, E.[Eduard],
Baldrich, R.[Ramon],
van de Weijer, J.[Joost],
Vanrell, M.[Maria],
Describing Reflectances for Color Segmentation Robust to Shadows,
Highlights, and Textures,
PAMI(33), No. 1, January 2011, pp. 917-930.
IEEE DOI
1104
Segment single material even with variations from shape, etc.
Multilocal creaseness analysis of the histogram which results
in a set of ridges representing the material reflectances.
BibRef
Khan, F.S.[Fahad Shahbaz],
van de Weijer, J.[Joost],
Vanrell, M.[Maria],
Modulating Shape Features by Color Attention for Object Recognition,
IJCV(98), No. 1, May 2012, pp. 49-64.
WWW Link.
1204
BibRef
Earlier:
Top-down color attention for object recognition,
ICCV09(979-986).
IEEE DOI
0909
BibRef
Khan, F.S.[Fahad Shahbaz],
Anwer, R.M.[Rao Muhammad],
van de Weijer, J.[Joost],
Bagdanov, A.D.[Andrew D.],
Vanrell, M.[Maria],
Lopez, A.M.[Antonio M.],
Color attributes for object detection,
CVPR12(3306-3313).
IEEE DOI
1208
See also Learning Color Names for Real-World Applications.
BibRef
Khan, F.S.[Fahad Shahbaz],
van de Weijer, J.[Joost],
Evaluating the Impact of Color on Texture Recognition,
CAIP13(154-162).
Springer DOI
1308
BibRef
van de Weijer, J.[Joost],
Khan, F.S.[Fahad Shahbaz],
Fusing Color and Shape for Bag-of-Words Based Object Recognition,
CCIW13(25-34).
Springer DOI
1304
BibRef
Rojas Vigo, D.A.[David Augusto],
Khan, F.S.[Fahad Shahbaz],
van de Weijer, J.[Joost],
Gevers, T.[Theo],
The Impact of Color on Bag-of-Words Based Object Recognition,
ICPR10(1549-1553).
IEEE DOI
1008
BibRef
Vazquez, E.[Eduard],
Baldrich, R.[Ramon],
Vazquez, J.[Javier],
Vanrell, M.[Maria],
Topological Histogram Reduction Towards Colour Segmentation,
IbPRIA07(I: 55-62).
Springer DOI
0706
BibRef
Xue, J.H.[Jing-Hao],
Titterington, D.M.[D. Michael],
Median-based image thresholding,
IVC(29), No. 9, August 2011, pp. 631-637.
Elsevier DOI
1109
Image segmentation; Image thresholding; Laplace distributions; Mean
absolute deviation from the median (MAD); Minimum error thresholding
(MET); Otsu's method
See also Threshold Selection Method from Grey-Level Histograms, A.
BibRef
Fan, J.L.[Jiu-Lun],
Lei, B.[Bo],
A modified valley-emphasis method for automatic thresholding,
PRL(33), No. 6, 15 April 2012, pp. 703-708.
Elsevier DOI
1203
Image segmentation; Otsu method; Valley point; Valley-emphasis method
BibRef
Chen, Q.,
Zhao, L.,
Lu, J.,
Kuang, G.,
Wang, N.,
Jiang, Y.,
Modified two-dimensional Otsu image segmentation algorithm and fast
realisation,
IET-IPR(6), No. 4, 2012, pp. 426-433.
DOI Link
1205
See also Threshold Selection Method from Grey-Level Histograms, A.
BibRef
Zhang, H.L.[Hai-Li],
Chen, Y.M.[Yun-Mei],
Shi, J.L.[Jiang-Li],
Nonparametric Image Segmentation Using Rényi's Statistical Dependence
Measure,
JMIV(44), No. 3, November 2012, pp. 330-340.
WWW Link.
1209
BibRef
Lu, S.J.[Shi-Jian],
Tan, C.[Cheston],
Lim, J.H.[Joo-Hwee],
Robust and Efficient Saliency Modeling from Image Co-Occurrence
Histograms,
PAMI(36), No. 1, 2014, pp. 195-201.
IEEE DOI
1312
BibRef
Earlier: A1, A3, Only:
Saliency Modeling from Image Histograms,
ECCV12(VII: 321-332).
Springer DOI
1210
Computational modeling
BibRef
Boulmerka, A.[Aďssa],
Allili, M.S.[Mohand Saďd],
Ait-Aoudia, S.[Samy],
A generalized multiclass histogram thresholding approach based on
mixture modelling,
PR(47), No. 3, 2014, pp. 1330-1348.
Elsevier DOI
1312
Image segmentation
BibRef
Sarkar, S.,
Das, S.,
Multilevel Image Thresholding Based on 2D Histogram and Maximum
Tsallis Entropy: A Differential Evolution Approach,
IP(22), No. 12, 2013, pp. 4788-4797.
IEEE DOI
1312
evolutionary computation
BibRef
Mukherjee, S.,
Acton, S.T.[Scott T.],
Region Based Segmentation in Presence of Intensity Inhomogeneity
Using Legendre Polynomials,
SPLetters(22), No. 3, March 2015, pp. 298-302.
IEEE DOI
1410
Computational modeling
BibRef
Balarini, J.P.[Juan Pablo],
Nesmachnow, S.[Sergio],
A C++ Implementation of Otsu's Image Segmentation Method,
IPOL(6), 2016, pp. 155-164.
DOI Link
1608
Code, Segmentation.
Code, Otsu Segmentation.
Code, Segmentation, C++.
See also Threshold Selection Method from Grey-Level Histograms, A.
BibRef
Cavallaro, G.[Gabriele],
Falco, N.[Nicola],
Mura, M.D.[Mauro Dalla],
Benediktsson, J.A.[Jón Atli],
Automatic Attribute Profiles,
IP(26), No. 4, April 2017, pp. 1859-1872.
IEEE DOI
1704
Biomedical imaging
BibRef
Cavallaro, G.[Gabriele],
Falco, N.[Nicola],
Mura, M.D.[Mauro Dalla],
Bruzzone, L.[Lorenzo],
Benediktsson, J.A.[Jón Atli],
Automatic Threshold Selection for Profiles of Attribute Filters Based
on Granulometric Characteristic Functions,
ISMM15(169-181).
Springer DOI
1506
BibRef
Ngatchou, A.,
Bitjoka, L.,
Mfoumou, E.,
Boukar, O.,
Ngatcheu, M.,
Ngueguim, M.,
Robust and Fast Segmentation Based on Fuzzy Clustering Combined with
Unsupervised Histogram Analysis,
IEEE_Int_Sys(32), No. 5, September 2017, pp. 6-13.
IEEE DOI
1710
Clustering algorithms, Histograms,
Mathematical model, Partitioning algorithms,
Prototypes, artificial intelligence, beans (Phaseolus vulgaris),
fuzzy logic, intelligent systems,
intensity transformation, unsupervised, histogram, analysis
BibRef
Hao, D.[Duo],
Li, Q.M.[Qiu-Ming],
Li, C.W.[Cheng-Wei],
Histogram-based image segmentation using variational mode decomposition
and correlation coefficients,
SIViP(11), No. 8, November 2017, pp. 1411-1418.
WWW Link.
1710
BibRef
Meng, Y.,
Hu, Z.,
Chen, X.,
Yao, J.,
Subtracted Histogram:
Utilizing Mutual Relation Between Features for Thresholding,
GeoRS(56), No. 12, December 2018, pp. 7415-7435.
IEEE DOI
1812
Histograms, Robustness, Feature extraction, Vgetation mapping,
Correlation, Entropy, Remote sensing, Automatic thresholding,
vegetation detection
BibRef
Xing, J.W.[Jiang-Wa],
Yang, P.[Pei],
Qingge, L.[Letu],
Automatic thresholding using a modified valley emphasis,
IET-IPR(14), No. 3, 28 February 2020, pp. 536-544.
DOI Link
2002
BibRef
Yue, X.F.[Xiao-Feng],
Zhang, H.B.[Hong-Bo],
A multi-level image thresholding approach using Otsu based on the
improved invasive weed optimization algorithm,
SIViP(14), No. 3, April 2020, pp. 575-582.
WWW Link.
2004
BibRef
Lisani, J.L.[Jose-Luis],
Petro, A.B.[Ana Belén],
Automatic 1D Histogram Segmentation and Application to the
Computation of Color Palettes,
IPOL(11), 2021, pp. 76-104.
DOI Link
2104
Code, Segmentation.
See also Nonparametric Approach for Histogram Segmentation, A.
BibRef
Guan, J.[Junyi],
Li, S.[Sheng],
He, X.X.[Xiong-Xiong],
Chen, J.J.[Jia-Jia],
Peak-Graph-Based Fast Density Peak Clustering for Image Segmentation,
SPLetters(28), 2021, pp. 897-901.
IEEE DOI
2106
Resource management, Image segmentation, Clustering algorithms,
Vegetation, Signal processing algorithms, Image reconstruction,
peak-graph
BibRef
Guan, J.[Junyi],
Li, S.[Sheng],
Zhu, J.H.[Jin-Hui],
He, X.X.[Xiong-Xiong],
Chen, J.J.[Jia-Jia],
Fast main density peak clustering within relevant regions via a
robust decision graph,
PR(152), 2024, pp. 110458.
Elsevier DOI
2405
Clustering, Density peak, Decision graph, kNN
BibRef
Li, S.[Shuang],
Shan, J.[Jie],
Adaptive Geometric Interval Classifier,
IJGI(11), No. 8, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Zhou, W.[Wei],
Wang, L.M.[Li-Min],
Han, X.M.[Xu-Ming],
Li, M.Y.[Ming-Yang],
A novel deviation density peaks clustering algorithm and its
applications of medical image segmentation,
IET-IPR(16), No. 14, 2022, pp. 3790-3804.
DOI Link
2212
BibRef
Barron, J.T.[Jonathan T.],
A Generalization of Otsu's Method and Minimum Error Thresholding,
ECCV20(V:455-470).
Springer DOI
2011
See also Threshold Selection Method from Grey-Level Histograms, A.
BibRef
Tanizaki, K.,
Hashimoto, N.,
Inatsu, Y.,
Hontani, H.,
Takeuchi, I.,
Computing Valid P-Values for Image Segmentation by Selective
Inference,
CVPR20(9550-9559)
IEEE DOI
2008
Image segmentation, Reliability, Testing,
Inference algorithms, Data analysis, Histograms
BibRef
Shaus, A.[Arie],
Turkel, E.[Eli],
Chan-Vese Revisited: Relation to Otsu's Method and a Parameter-Free
Non-PDE Solution via Morphological Framework,
ISVC16(I: 203-212).
Springer DOI
1701
BibRef
Kiadtikornthaweeyot, W.[Warinthorn],
Tatnall, A.R.L.[Adrian R. L.],
Region Of Interest Detection Based On Histogram Segmentation For
Satellite Image,
ISPRS16(B7: 249-255).
DOI Link
1610
BibRef
Chevallier, E.[Emmanuel],
Chevallier, A.[Augustin],
Angulo, J.[Jesus],
Computing Histogram of Tensor Images Using Orthogonal Series Density
Estimation and Riemannian Metrics,
ICPR14(900-905)
IEEE DOI
1412
Density measurement
BibRef
Al Saeed, D.H.[Duaa H.],
Bouridane, A.[Ahmed],
El Zaart, A.[Ali],
A new image segmentation method based On 3-dimensional entropic
thresholding using a 3-dimensional (GLLALE) histogram,
WSSIP14(235-238)
1406
Face
BibRef
Martín-Rodríguez, F.[Fernando],
New Tools for Gray Level Histogram Analysis, Applications in
Segmentation,
ICIAR13(326-335).
Springer DOI
1307
BibRef
Guo, X.[Xin],
Zhao, Z.C.[Zhi-Cheng],
Cai, A.N.[An-Ni],
Find dominant bins of a histogram by sparse representation,
ICPR12(3038-3041).
WWW Link.
1302
BibRef
Berger, R.[Raoul],
Dubuisson, S.[Severine],
Gonzales, C.[Christophe],
Fast multiple histogram computation using Kruskal's algorithm,
ICIP12(2373-2376).
IEEE DOI
1302
multiple overlapping regions.
BibRef
Dubuisson, S.[Séverine],
Gonzales, C.[Christophe],
Min-Space Integral Histogram,
ECCV12(II: 188-201).
Springer DOI
1210
compute histograms
BibRef
Catańo, M.A.[Miguel Angel],
Climent, J.[Joan],
A New Morphological Measure of Histogram Bimodality,
CIARP12(390-397).
Springer DOI
1209
BibRef
Nazareth, V.M.,
Amulya, K.,
Manikantan, K.,
Optimal Multilevel Thresholding for Image Segmentation Using
Contrast-Limited Adaptive Histogram Equalization and Enhanced
Convergence Particle Swarm Optimization,
NCVPRIPG11(207-210).
IEEE DOI
1205
BibRef
Ma, L.Y.[Li-Yan],
Yu, J.[Jian],
Texture segmentation based on local feature histograms,
ICIP11(3349-3352).
IEEE DOI
1201
BibRef
Sthitpattanapongsa, P.[Puthipong],
Srinark, T.[Thitiwan],
An Equivalent 3D Otsu's Thresholding Method,
PSIVT11(I: 358-369).
Springer DOI
1111
See also Threshold Selection Method from Grey-Level Histograms, A.
BibRef
Kulkarni, M.[Mandar],
Histogram-based foreground object extraction for indoor and outdoor
scenes,
ICCVGIP10(148-154).
DOI Link
1111
BibRef
Ferone, A.[Alessio],
Pal, S.K.[Sankar Kumar],
Petrosino, A.[Alfredo],
A Rough-Fuzzy HSV Color Histogram for Image Segmentation,
CIAP11(I: 29-37).
Springer DOI
1109
BibRef
Xue, F.[Fei],
Zhang, Y.J.[Yu-Jin],
Image Class Segmentation via Conditional Random Field over Weighted
Histogram Classifier,
ICIG11(477-481).
IEEE DOI
1109
BibRef
Ramella, G.[Giuliana],
di Baja, G.S.[Gabriella Sanniti],
Color Histogram-Based Image Segmentation,
CAIP11(I: 76-83).
Springer DOI
1109
BibRef
And:
Multiresolution Histogram Analysis for Color Reduction,
CIARP10(22-29).
Springer DOI
1011
BibRef
Earlier:
Color Quantization by Multiresolution Analysis,
CAIP09(525-532).
Springer DOI
0909
BibRef
Bellens, P.[Pieter],
Palaniappan, K.[Kannappan],
Badia, R.M.[Rosa M.],
Seetharaman, G.[Guna],
Labarta, J.[Jesus],
Parallel Implementation of the Integral Histogram,
ACIVS11(586-598).
Springer DOI
1108
BibRef
Frias-Velazquez, A.[Andres],
Morros, R.[Ramon],
Histogram computation based on image bitwise decomposition,
ICIP09(3269-3272).
IEEE DOI
0911
The actual computation of histograms.
BibRef
Lin, A.Y.[Ai-Ying],
Wu, L.L.[Li-Li],
Zheng, B.Z.[Bao-Zhou],
Zan, H.Y.[Hong-Ying],
The Combination of Local Fuzzy-Entropy-Based Transition Region
Extraction with Otsu Thresholding Method for Image Segmentation,
CISP09(1-4).
IEEE DOI
0910
BibRef
Deng, H.G.[Hong-Gui],
Wu, R.L.[Rang-Liang],
Lai, Z.R.[Zheng-Rong],
Image Segmentation of Drosophila's Compound Eyes via Two-Dimensional
Otsu Thresholding on the Basis of AGA,
CISP09(1-5).
IEEE DOI
0910
BibRef
Thomas, G.[Gabriel],
Image segmentation using histogram specification,
ICIP08(589-592).
IEEE DOI
0810
BibRef
Brancati, N.[Nadia],
Frucci, M.[Maria],
Sanniti di Baja, G.[Gabriella],
Image Segmentation Via Iterative Histogram Thresholding and
Morphological Features Analysis,
ICIAR08(xx-yy).
Springer DOI
0806
BibRef
Pardo, A.[Alvaro],
Pixel-Wise Histograms for Visual Segment Description and Applications,
CIARP06(873-882).
Springer DOI
0611
BibRef
Schroff, F.,
Criminisi, A.,
Zisserman, A.,
Object Class Segmentation using Random Forests,
BMVC08(xx-yy).
PDF File.
0809
BibRef
Earlier:
Single-Histogram Class Models for Image Segmentation,
ICCVGIP06(82-93).
Springer DOI
0612
BibRef
Martinez-de Dios, J.R.,
Ollero, A.,
A Multiresolution Threshold Selection Method Based on Training,
ICIAR04(I: 90-97).
Springer DOI
0409
BibRef
Sankowski, D.[Dominik],
Mosorov, V.[Volodymyr],
Thresholding Image Segmentation Based on the Volume Analysis of Spatial
Regions,
CAIP01(620).
Springer DOI
0210
BibRef
Gibson, S.E.,
Harvey, R.W.,
Analysing and simplifying histograms using scale-trees,
CIAP01(84-89).
IEEE DOI
0210
BibRef
Ińesta, J.M.[José M.],
Sanz, P.J.[Pedro J.],
del Pobil, Á.P.[Ángel P.],
An automatic transformation from bimodal to pseudo-binary images,
CIAP97(I: 231-238).
Springer DOI
9709
BibRef
Mlsna, P.A.,
Zhang, Q.,
Rodriguez, J.J.,
3-D Histogram Modification of Color Images,
ICIP96(III: 1015-1018).
IEEE DOI
BibRef
9600
Mlsna, P.A.,
Rodriguez, J.J.,
Explosion of multidimensional image histograms,
ICIP94(III: 958-962).
IEEE DOI
9411
BibRef
Dingle, A.A.[Alison A.],
Morrison, M.W.[Mark W.],
Unsupervised Image Segmentation Based on the Comparison of
Local and Regional Histograms,
ICIP96(III: 959-962).
IEEE DOI
BibRef
9600
Luchowski, L.[Leszek],
A new method to threshold images of flat binary scenes under uneven
lighting,
CAIP95(594-599).
Springer DOI
9509
BibRef
Vossepoel, A.M.,
Stoel, B.C.,
Meershoek, A.P.,
Adaptive Histogram Equalization Using Variable Regions,
ICPR88(I: 351-353).
IEEE DOI
BibRef
8800
Bracho, R.[Rafael], and
Sanderson, A.C.,
Segmentation of Images Based on Intensity Gradient Information,
CVPR85(341-347).
Schlumberger Palo Alto Research and CMU.
Shaded regions are extracted along with an indication of the
surface which could generate them.
BibRef
8500
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Fuzzy Threshold Segmentation .