8.3.9 Other Threshold Selection Systems

Chapter Contents (Back)
Segmentation, Thresholds. Threshold Segmentation.

Cordella, L.P., Duff, M.J.B., Levialdi, S.,
Thresholding: A Challenge for Parallel Processing,
CGIP(6), No. 3, June 1977, pp. 207-220.
WWW Link. As a parallel problem. BibRef 7706

Nakagawa, Y.[Yasuo], Rosenfeld, A.[Azriel],
Some Experiments on Variable Thresholding,
PR(11), No. 3, 1979, pp. 191-204.
WWW Link. See also Boundary Detection of Radiographic Images by a Threshold Method. BibRef 7900

Pun, T.,
Entropic Thresholding: A New Approach,
CGIP(16), No. 3, July 1981, pp. 210-239.
WWW Link. Based on asymmetry of histograms. BibRef 8107

Pun, T.,
A New Method for Grey-Level Picture Thresholding Using the Entropy of the Histogram,
SP(2), No 3, July 1980, pp. 223-237. BibRef 8007

Sommer, R.[Ruediger], Wischer, H.[Hermann],
Methods for converting a video signal into a black/white signal,
US_Patent4,315,285, Feb 9, 1982
WWW Link. BibRef 8202

Feiveson, A.H.,
Segmentation by Thresholding,
PAMI(5), No. 1, January 1983, pp. 48-54. BibRef 8301

Deravi, F., Pal, S.K.,
Gray Level Thresholding Using Second-Order Statistics,
PRL(1), 1983, pp. 417-422. BibRef 8300

Hassan, M.H., Siy, P.,
Thresholding Based on Learning Theory,
PIEEE(76), 1988, pp. 1379-1381. BibRef 8800

Olafsson, S., and Abu-Mostafa, Y.S.,
The Capacity of a Multilevel Threshold Functions,
PAMI(10), No. 2, March 1988, pp. 277-281.
IEEE DOI BibRef 8803

Lee, J.S., Yang, M.C.K.,
Threshold Selection Using Estimates from Truncated Normal Distribution,
SMC(19), No. 4, July 1989, pp. 422-429. BibRef 8907

Petilli, E.M.[Eugene M.],
Method for thresholding an image signal,
US_Patent4,912,569, Mar 27, 1990
WWW Link. BibRef 9003
And:
Apparatus for thresholding an image signal,
US_Patent4,918,543, Apr 17, 1990
WWW Link. BibRef

Parker, J.R.,
Gray Level Thresholding in Badly Illuminated Images,
PAMI(13), No. 8, August 1991, pp. 813-819.
IEEE DOI Segmentation, Binarization. A two-class technique which assumes the only alternative is to find a single threshold. Find points with high gradients, grow regions which have similar values. Essentially finds multiple thresholds for different characters (character extraction experiments). BibRef 9108

Dunn, S.M., Harwood, D., and Davis, L.S.,
Local Estimation of the Uniform Error Threshold,
PAMI(6), No. 6, November 1984, pp. 742-747. BibRef 8411

Wójcik, Z.M.[Zbigniew M.],
A Natural Approach in Image Processing and Pattern Recognition: Rotating Neighbourhood Technique, Self-Adapting Threshold, Segmentation and Shape Recognition,
PR(18), No. 5, 1985, pp. 299-326.
WWW Link. Edge preserving. BibRef 8500

Brink, A.D.,
Gray-Level Thresholding of Images Using A Correlation Criterion,
PRL(9), No. 5, June 1989, pp. 335-341. BibRef 8906

Cseke, I., and Fazekas, Z.,
Comments on Gray-Level Thresholding of Images Using a Correlation Criterion,
PRL(11), 1990, pp. 709-710. BibRef 9000

Brink, A.D.,
Comments on Grey-Level Thresholding of Images Using a Correlation Criterion,
PRL(12), 1991, pp. 91-92. BibRef 9100

Shanbhag, A.G.,
Utilization of Information Measure as a Means of Image Thresholding,
GMIP(56), No. 5, September 1994, pp. 414-419. BibRef 9409

Cheng, J.C., Don, H.S.,
Segmentation of Bilevel Images Using Mathematical Morphology,
PRAI(6), 1992, pp. 595-628. BibRef 9200

Cho, S.[Sungzoon], Haralick, R.M.[Robert M.], Yi, S.[Seungku],
Improvement of Kittler and Illingworth's Minimum Error Thresholding,
PR(22), No. 5, 1989, pp. 609-617.
WWW Link. See also Minimum Error Thresholding. BibRef 8900

Kittler, J.V., Illingworth, J., Föglein, J.,
Threshold Selection Based on a Simple Image Statistic,
CVGIP(30), No. 2, May 1985, pp. 125-147.
WWW Link. Segmentation, Binarization. (SERC, UK) and (Hungary). The threshold is selected on small windows (size depends on differences) without using the histogram computation. It seems to say that it is relevant only for the two class segmentation problem. Some of the ideas could be applied to a general histogram based segmentation scheme. BibRef 8505

Kittler, J.V., and Illingworth, J.,
Minimum Error Thresholding,
PR(19), No. 1, 1986, pp. 41-47.
WWW Link. Segmentation, Unimodal. Discusses the problems of unimodal histograms. Compared in: See also Comparative Performance Study of Several Global Thresholding Techniques for Segmentation, A. BibRef 8600

Kittler, J.V., and Illingworth, J.,
On Threshold Selection Using Clustering Criteria,
SMC(15), No. 5, September-October 1985, pp. 652-655. Segmentation, Clustering. Clustering. Also compares some techniques. BibRef 8509

Kittler, J.V., and Föglein, J.,
Contextual Classification of Multispectral Pixel Data,
IVC(2), No. 1, February 1984, pp. 13-29.
WWW Link. BibRef 8402

Kittler, J.V., Illingworth, J., Föglein, J., Paler, K.,
An Automatic Thresholding Algorithm and Its Performance,
ICPR84(287-289). BibRef 8400

Yanowitz, S.D., and Bruckstein, A.M.,
A New Method for Image Segmentation,
CVGIP(46), No. 1, April 1989, pp. 82-95.
WWW Link. BibRef 8904
Earlier: ICPR88(I: 270-275).
IEEE DOI Segmentation, Edges. Adaptive Threshold. Thresholds are selected based on high gradient points and interpolation between scattered points in the image. Mostly an adaptive threshold selection scheme rather than a segmentation scheme. In the evaluation, this postprocessing improved all others to get the best results. Compared in: See also Evaluation of Binarization Methods for Document Images. BibRef

Blanz, W.E., Shung, C.B., Cox, C.E., Greiner, W., Dom, B.E., and Petkovic, D.,
Design and Implementation of a Low-Level Image Segmentation Architecture -- LISA,
MVA(6), 1993, pp. 181-190. BibRef 9300
Earlier: ICPR90(II: 413-421).
IEEE DOI 9208
Hardware to do the binarization process. It seems to work well. BibRef

Blanz, W.E., Sanz, J.L.C., Petkovic, D.,
Control Free, Low-Level Image Segmentation: Theory, Architecture, and Experimentation,
ICCV87(439-443). BibRef 8700

Blanz, W.E., Cox, C.E., Gish, S.L.,
Connectionist Architectures in Low Level Image Segmentation,
HPRCV97(Chapter V:5). (IBM,Almaden Res. Ctr.) BibRef 9700

Blanz, W.E., Gish, S.L.,
A connectionist classifier architecture applied to image segmentation,
ICPR90(II: 272-277).
IEEE DOI 9208
BibRef

Song, S., Liao, M., Qin, J.,
Multiresolution Image Dynamic Thresholding,
MVA(3), 1990, pp. 13-16. See also Multiresolution Image Motion Detection and Displacement Estimation. BibRef 9000

Brink, A.D.,
Thresholding Of Digital Images Using Two-Dimensional Entropies,
PR(25), No. 8, August 1992, pp. 803-808.
WWW Link. 2D entropies from 2D histogram. BibRef 9208

Chang, C.I.[Chein-I], Chen, K.[Kebo], Wang, J.W.[Jian-Wei], Althouse, M.L.G.[Mark L.G.],
A Relative Entropy-Based Approach To Image Thresholding,
PR(27), No. 9, September 1994, pp. 1275-1289.
WWW Link. BibRef 9409

Althouse, M.L.G., Chang, C.I.[Chein-I],
Image segmentation by local entropy methods,
ICIP95(III: 61-64).
IEEE DOI 9510
BibRef

Lie, W.N.,
Automatic Target Segmentation by Locally Adaptive Image Thresholding,
IP(4), No. 7, July 1995, pp. 1036-1041.
IEEE DOI Adaptive Threshold. BibRef 9507

Morii, F.[Fujiki],
An Image Thresholding Method Using a Minimum Weighted Squared-Distortion Criterion,
PR(28), No. 7, July 1995, pp. 1063-1071.
WWW Link. BibRef 9507

Brink, A.D.,
Minimum Spatial Entropy Threshold Selection,
VISP(142), No. 3, June 1995, pp. 128-132. BibRef 9506

Ramesh, N., Yoo, J.H., Sethi, I.K.,
Thresholding Based on Histogram Approximation,
VISP(142), No. 5, October 1995, pp. 271-279. BibRef 9510

Lee, Y.C.[Yong-Chun], Basile, J.M.[Joseph M.], Rudak, P.[Peter],
Multi-windowing technique for thresholding an image using local image properties,
US_Patent5,583,659, November 10, 1994.
HTML Version. BibRef 9411

Brink, A.D.,
Using Spatial Information as an Aid to Maximum-Entropy Image Threshold Selection,
PRL(17), No. 1, January 10 1996, pp. 29-36. BibRef 9601

Li, C.H., Lee, C.K.,
Minimum Cross Entropy Thresholding,
PR(26), No. 4, April 1993, pp. 617-625.
WWW Link. minimize cross entropy between image and the segmentation. BibRef 9304

Li, C.H., Tam, P.K.S.,
An Iterative Algorithm For Minimum Cross-Entropy Thresholding,
PRL(19), No. 8, June 1998, pp. 771-776. 9808
BibRef

Brink, A.D., Pendock, N.E.,
Minimum Cross-Entropy Threshold Selection,
PR(29), No. 1, January 1996, pp. 179-188.
WWW Link. Optimal threshold BibRef 9601

Gelfand, S.B., Fortmann, T.E., Bar-Shalom, Y.,
Adaptive Detection Threshold Optimization for Tracking in Clutter,
AeroSys(32), No. 2, April 1996, pp. 514-523. 9605
BibRef

Zhang, T.X., Peng, J.X., Li, Z.J.,
An Adaptive Image Segmentation Method with Visual Nonlinearity Characteristics,
SMC-B(26), No. 4, August 1996, pp. 619-627.
IEEE Top Reference. Finds small regions with a complex background. BibRef 9608

Leung, C.K., Lam, F.K.,
Performance Analysis for a Class of Iterative Image Thresholding Algorithms,
PR(29), No. 9, September 1996, pp. 1523-1530.
WWW Link. Image Thresholding. Image Segmentation. Analyze 3 iterative thresholding algorithms. BibRef 9609

Leung, C.K., Lam, F.K.,
Maximum A-Posteriori Spatial Probability Segmentation,
VISP(144), No. 3, June 1997, pp. 161-167. 9708
BibRef

Leung, C.K., Lam, F.K.,
Maximum Segmented Image Information Thresholding,
GMIP(60), No. 1, January 1998, pp. 57-76. BibRef 9801
Earlier:
Maximum Segmented-Scene Spatial Entropy Thresholding,
ICIP96(III: 963-966).
IEEE DOI BibRef

Pal, N.R.[Nikhil R.],
On Minimum Cross-Entropy Thresholding,
PR(29), No. 4, April 1996, pp. 575-580.
WWW Link. BibRef 9604

Pikaz, A.[Arie], Averbuch, A.[Amir],
Digital Image Thresholding, Based on Topological Stable-State,
PR(29), No. 5, May 1996, pp. 829-843.
WWW Link. 9605
Segmentation for distinct objects. BibRef

Groenewald, A.M., Barnard, E., Botha, E.C.,
Related Approaches to Gradient-Based Thresholding,
PRL(14), 1993, pp. 567-572. BibRef 9300

Snyder, W.E., Bilbro, G.L., Logenthiran, A., Rajala, S.,
Optimal Thresholding: A New Approach,
PRL(11), 1990, pp. 803-810. BibRef 9000

Morii, F.,
A Note on Minimum Error Thresholding,
PRL(12), 1991, pp. 349-351. BibRef 9100

Zhang, Y.J., Gerbrands, J.J.,
Transition Region Determination Based Thresholding,
PRL(12), 1991, pp. 13-23. BibRef 9100

Ye, Q.Z., Danielsson, P.E.,
On Minimum Error Thresholding and Its Implementations,
PRL(7), 1988, pp. 201-206. BibRef 8800

Kundu, M.K., Pal, S.K.,
A Note on Grey Level-Intensity Transformation: Effect on HVS Thresholding,
PRL(8), 1988, pp. 257-269. BibRef 8800

Aviad, Z., Lozinskii, E.,
Semantic Thresholding,
PRL(5), 1987, pp. 321-328. BibRef 8700

Chanda, B., Chaudhuri, B.B., Dutta Majumder, D.,
On Image Enhancement and Threshold Selection Using the Graylevel Co-Occurrence Matrix,
PRL(3), 1985, pp. 243-251. BibRef 8500

Chanda, B., Chaudhuri, B.B., Dutta Majumder, D.,
Some Modified Algorithms for Graylevel Thresholding,
ICPR86(984-986). See also Some Algorithms for Image Enhancement Incorporating Human Visual Response. BibRef 8600

Ramac, L.C.[Liane C.], Varshney, P.K.[Pramod K.],
Image Thresholding Based on Ali-Silvey Distance Measures,
PR(30), No. 7, July 1997, pp. 1161-1174.
WWW Link. 9707
BibRef

Hebert, T.J.,
Fast Iterative Segmentation of High-Resolution Medical Images,
NucSci(44), No. 3, Part 2, June 1997, pp. 1362-1367. 9707
BibRef

Fan, J.L., Xie, W.X.,
Minimum Error Thresholding: A Note,
PRL(18), No. 8, August 1997, pp. 705-709. 9801
BibRef

Chan, F.H.Y., Lam, F.K., Zhu, H.,
Adaptive Thresholding By Variational Method,
IP(7), No. 3, March 1998, pp. 468-473.
IEEE DOI 9803
BibRef

Chang, C.C., Wang, L.L.,
A Fast Multilevel Thresholding Method Based on Lowpass and Highpass Filtering,
PRL(18), No. 14, December 1997, pp. 1469-1478. 9806
BibRef

Cheriet, M., Said, J.N., Suen, C.Y.,
A Recursive Thresholding Technique for Image Segmentation,
IP(7), No. 6, June 1998, pp. 918-921.
IEEE DOI 9806
BibRef

Fan, J.L.,
Notes on Poisson Distribution Based Minimum Error Thresholding,
PRL(19), No. 5-6, April 1998, pp. 425-431. 9808
BibRef

Oh, W.[Wonho], Lindquist, W.B.[W. Brent],
Image Thresholding by Indicator Kriging,
PAMI(21), No. 7, July 1999, pp. 590-602.
IEEE DOI Separating 2 populations -- object from background. Use spatial covariance. BibRef 9907

Wu, X.J.[Xue-Jing], Zhang, Y.J.[Yi-Jun], Xia, L.Z.[Liang-Zheng],
A fast recurring two-dimensional entropic thresholding algorithm,
PR(32), No. 12, December 1999, pp. 2055-2061.
WWW Link. BibRef 9912

Heucke, L., Knaak, M., Orglmeister, R.,
A New Image Segmentation Method Based on Human Brightness Perception and Foveal Application,
SPLetters(7), No. 7, July 2000, pp. 129-131.
IEEE Top Reference. 0006
BibRef

Lee, Z.H.[Zheng-Hong],
Thresholding implemented in the frequency domain,
IP(10), No. 5, May 2001, pp. 708-714.
IEEE DOI 0105
BibRef

Park, Y.T.[Young-Tae],
Shape-resolving local thresholding for object detection,
PRL(22), No. 8, June 2001, pp. 883-890.
Elsevier DOI 0105
BibRef

Snidaro, L., Foresti, G.L.,
Real-time thresholding with Euler numbers,
PRL(24), No. 9-10, June 2003, pp. 1533-1544.
WWW Link. 0304
BibRef

Chen, H.C.[Hsin-Chia], Chien, W.J.[Wei-Jung], Wang, S.J.[Sheng-Jyh],
Contrast-Based Color Image Segmentation,
SPLetters(11), No. 7, July 2004, pp. 641-644.
IEEE Abstract. 0407
BibRef
Earlier:
Constrast based color segmentation with adaptive thresholds,
ICIP02(II: 73-76).
IEEE DOI 0210
BibRef

Portes de Albuquerque, M., Esquef, I.A., Gesualdi Mello, A.R., Portes de Albuquerque, M.,
Image thresholding using Tsallis entropy,
PRL(25), No. 9, 2 July 2004, pp. 1059-1065.
WWW Link. 0407
BibRef

Kwon, S.H.[Soon H.],
Threshold selection based on cluster analysis,
PRL(25), No. 9, 2 July 2004, pp. 1045-1050.
WWW Link. 0407
BibRef
And: Erratum: PRL(30), No. 10, 15 July 2009, pp. 950.
Elsevier DOI 0906
BibRef

Huang, Q.M.[Qing-Ming], Gao, W.[Wen], Cai, W.[Wenjian],
Thresholding technique with adaptive window selection for uneven lighting image,
PRL(26), No. 6, 1 May 2005, pp. 801-808.
WWW Link. 0501
BibRef

Yan, F.X.[Fei-Xiang], Zhang, H.[Hong], Kube, C.R.[C. Ronald],
A multistage adaptive thresholding method,
PRL(26), No. 8, June 2005, pp. 1183-1191.
WWW Link. 0506
BibRef

Pi, M.H.[Ming Hong], Zhang, H.[Hong],
Two-Stage Image Segmentation by Adaptive Thresholding and Gradient Watershed,
CRV05(57-64).
IEEE DOI 0505
BibRef

Hemachander, S., Verma, A., Arora, S., Panigrahi, P.K.[Prasanta K.],
Locally adaptive block thresholding method with continuity constraint,
PRL(28), No. 1, 1 January 2007, pp. 119-124.
WWW Link. 0611
Block thresholding; Boundary mismatch; Image continuity; Image variance BibRef

Arora, S., Acharya, J., Verma, A., Panigrahi, P.K.[Prasanta K.],
Multilevel thresholding for image segmentation through a fast statistical recursive algorithm,
PRL(29), No. 1, 15 January 2008, pp. 119-125.
WWW Link. 0711
Multilevel thresholding; Image segmentation; Histogram; Recursion; Sub-range BibRef

Torabi, K.[Keivan], Sayad, S.[Saed], Balke, S.T.[Stephen Thomas],
Adaptive image thresholding for real-time particle monitoring,
IJIST(16), No. 1, 2006, pp. 9-14.
DOI Link 0703
BibRef

Pock, T.[Thomas], Pock, M.[Michael], Bischof, H.[Horst],
Algorithmic Differentiation: Application to Variational Problems in Computer Vision,
PAMI(29), No. 7, July 2007, pp. 1180-1193.
IEEE DOI 0706
Discrete energy functional, and implement differentiation. BibRef

Unger, M.[Markus], Pock, T.[Thomas], Werlberger, M.[Manuel], Bischof, H.[Horst],
A Convex Approach for Variational Super-Resolution,
DAGM10(313-322).
Springer DOI 1009
BibRef

Werlberger, M.[Manuel], Pock, T.[Thomas], Unger, M.[Markus], Bischof, H.[Horst],
A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking,
SSVM09(200-211).
Springer DOI 0906
BibRef

Unger, M.[Markus], Mauthner, T.[Thomas], Pock, T.[Thomas], Bischof, H.[Horst],
Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV,
EMMCVPR09(193-206).
Springer DOI 0908
Total Variation (TV) regularization. BibRef

Leistner, C.[Christian], Saffari, A.[Amir], Santner, J.[Jakob], Bischof, H.[Horst],
Semi-Supervised Random Forests,
ICCV09(506-513).
IEEE DOI 0909
BibRef

Godec, M.[Martin], Leistner, C.[Christian], Saffari, A.[Amir], Bischof, H.[Horst],
On-Line Random Naive Bayes for Tracking,
ICPR10(3545-3548).
IEEE DOI 1008
BibRef
Earlier: A2, A1, A3, A4:
On-Line Multi-view Forests for Tracking,
DAGM10(493-502).
Springer DOI 1009
BibRef

Saffari, A.[Amir], Leistner, C.[Christian], Santner, J.[Jakob], Godec, M.[Martin], Bischof, H.[Horst],
On-line Random Forests,
Learning09(1393-1400).
IEEE DOI 0910
See also On robustness of on-line boosting: a competitive study. See also Online multi-class LPBoost. BibRef

Santner, J.[Jakob], Unger, M.[Markus], Pock, T.[Thomas], Leistner, C.[Christian], Saffari, A.[Amirreza], Bischof, H.[Horst],
Interactive Texture Segmentation using Random Forests and Total Variation,
BMVC09(xx-yy).
PDF File. 0909
BibRef

Unger, M., Pock, T., Trobin, W., Cremers, D., Bischof, H.,
TVSeg: Interactive Total Variation Based Image Segmentation,
BMVC08(xx-yy).
PDF File. 0809
See also Global Relabeling for Continuous Optimization in Binary Image Segmentation. BibRef

Pock, T.[Thomas], Unger, M.[Markus], Cremers, D.[Daniel], Bischof, H.[Horst],
Fast and exact solution of Total Variation models on the GPU,
CVGPU08(1-8).
IEEE DOI 0806
BibRef

Pock, T.[Thomas], Bischof, H.[Horst],
A Probabilistic Multi-phase Model for Variational Image Segmentation,
DAGM06(71-80).
Springer DOI 0610
BibRef

Bustince, H., Barrenechea, E., Pagola, M.,
Relationship between restricted dissimilarity functions, restricted equivalence functions and normal EN-functions: Image thresholding invariant,
PRL(29), No. 4, 1 March 2008, pp. 525-536.
WWW Link. 0711
Restricted equivalence functions; Restricted dissimilarity functions; Distance measures; Fuzzy entropy; Implication operators; Image thresholding BibRef

Wu, B.F.[Bing-Fei], Chen, Y.L.[Yen-Lin], Chiu, C.C.[Chung-Cheng],
A Discriminant Analysis Based Recursive Automatic Thresholding Approach for Image Segmentation,
IEICE(E88-D), No. 7, July 2005, pp. 1716-1723.
DOI Link 0507
BibRef

Chen, I.P.[I-Ping], Lai, M.Y.[Ming-Yi], Wang, L.L.[Ling-Ling],
An improvement in the moment-preserving thresholding method,
IJIST(18), No. 5-6, 2008, pp. 365-370.
DOI Link 0804
BibRef

Saha, B.N.[Baidya Nath], Ray, N.[Nilanjan],
Image thresholding by variational minimax optimization,
PR(42), No. 5, May 2009, pp. 843-856.
Elsevier DOI 0902
BibRef
Earlier: A2, A1:
Edge Sensitive Variational Image Thresholding,
ICIP07(VI: 37-40).
IEEE DOI 0709
Minimax optimization; Variational calculus; Image thresholding BibRef

Zheng, L.Y.[Li-Ying], Liu, K.F.[Kui-Feng], Yu, L.[Lei],
Multilevel Thresholding Method Based on Normalized Cut,
IJIG(9), No. 4, October 2009, pp. 531-540.
DOI Link 0911
BibRef

Kamilov, U.S., Bourquard, A., Amini, A., Unser, M.,
One-Bit Measurements With Adaptive Thresholds,
SPLetters(19), No. 10, October 2012, pp. 607-610.
IEEE DOI 1209
1 bit quantization. BibRef

Lai, Y.K.[Yu-Kun], Rosin, P.L.,
Efficient Circular Thresholding,
IP(23), No. 3, March 2014, pp. 992-1001.
IEEE DOI 1403
computational complexity BibRef

Xiao, Y.[Yang], Cao, Z.G.[Zhi-Guo], Yuan, J.S.[Jun-Song],
Entropic image thresholding based on GLGM histogram,
PRL(40), No. 1, 2014, pp. 47-55.
Elsevier DOI 1403
Entropic image thresholding BibRef

Pavlík, J.[Jan],
Thresholding of a Digital Image by Free Terms,
JMIV(51), No. 2, February 2015, pp. 338-354.
WWW Link. 1503
BibRef

Kamilov, U.S., Mansour, H.,
Learning Optimal Nonlinearities for Iterative Thresholding Algorithms,
SPLetters(23), No. 5, May 2016, pp. 747-751.
IEEE DOI 1604
Compressive sensing BibRef

Karthikeyan, B., Ballakur, S.[Sneha], Sowvarnica, S., Vaithiyanathan, V., Vinayakaram, N., Vasanth, G.,
Elimination of grey level distortion using multiscale gradient multiplication,
IJCVR(6), No. 4, 2016, pp. 369-380.
DOI Link 1610
BibRef

Mozaffari, M.H.[Mohammad Hamed], Lee, W.S.[Won-Sook],
Convergent heterogeneous particle swarm optimisation algorithm for multilevel image thresholding segmentation,
IET-IPR(11), No. 8, August 2017, pp. 605-619.
DOI Link 1708
BibRef


Li, S.Z.[Shu-Zhen], Ju, R.[Ran], Ren, T.W.[Tong-Wei], Wu, G.S.[Gang-Shan],
Saliency cuts based on adaptive triple thresholding,
ICIP15(4609-4613)
IEEE DOI 1512
GrabCut; adaptive triple thresholding; saliency cuts; saliency map BibRef

Fonseca, P.[Pablo], Wainer, J.[Jacques],
A Linear Time Implementation of k-Means for Multilevel Thresholding of Grayscale Images,
CIARP14(120-126).
Springer DOI 1411
BibRef

Nguyen, V.A.[Viet Anh], Dinh, K.Q.[Khanh Quoc], Trinh, C.V.[Chien Van], Jeon, B.W.[Byeung-Woo],
HVS based iterative hard thresholding recovery for compressive sensed image,
WSSIP14(231-234) 1406
Boats BibRef

Jiang, F., Frater, M.R., Pickering, M.,
Threshold-Based Image Segmentation through an Improved Particle Swarm Optimisation,
DICTA12(1-5).
IEEE DOI 1303
BibRef

Najjar, M.A.[Mayssaa Al], Karlapudi, S.[Swetha], Bayoumi, M.[Magdy],
A compact single-pass architecture for hysteresis thresholding and component labeling,
ICIP10(101-104).
IEEE DOI 1009
BibRef

Mevenkamp, N., Berkels, B.[Benjamin],
Variational multi-phase segmentation using high-dimensional local features,
WACV16(1-9)
IEEE DOI 1606
Crystals BibRef

Berkels, B.[Benjamin],
An Unconstrained Multiphase Thresholding Approach for Image Segmentation,
SSVM09(26-37).
Springer DOI 0906
BibRef

Huang, X.X.[Xia-Xi], Boulgouris, N.V.[Nikolaos V.],
Robust Object Segmentation using Adaptive Thresholding,
ICIP07(I: 45-48).
IEEE DOI 0709
BibRef

Luessi, M., Eichmann, M., Schuster, G.M., Katsaggelos, A.K.,
New Results on Efficient Optimal Multilevel Image Thresholding,
ICIP06(773-776).
IEEE DOI 0610
BibRef

Chen, B.[Bin], He, L.[Lei], Liu, P.[Ping],
A Morphological Edge Detector for Gray-Level Image Thresholding,
ICIAR05(659-666).
Springer DOI 0509
Threshold from edges. BibRef

Yu, L.[Li], Hoover, A.[Adam],
Threshold Selection as a Function of Region Count Stability,
PercOrg04(59).
IEEE DOI 0502
BibRef

Sezgin, M., Sankur, B.,
Selection of Thresholding Methods for Non-desctructive Testing Applications,
ICIP01(III: 764-767).
IEEE DOI 0108
BibRef

Luo, X.[Xiping], Tian, J.[Jie],
Multi-level Thresholding: Maximum Entropy Approach Using Icm,
ICPR00(Vol III: 778-781).
IEEE DOI 0009
BibRef
Earlier:
ICM method for multi-level thresholding using maximum entropy criterion,
CIAP99(108-113).
IEEE DOI 9909
BibRef

Garcia, M.A.,
Acceleration of Filtering and Enhancement Operations Through Geometric Processing of Gray-level Images,
ICIP00(Vol I: 97-100).
IEEE DOI 0008
BibRef

García, M.A., Vintimilla, B.X.,
Acceleration of Thresholding and Labeling Operations Through Geometric Processing of Gray-level Images,
ICPR00(Vol III: 425-428).
IEEE DOI 0009
See also Approximation and Processing of Intensity Images with Discontinuity-Preserving Adaptive Triangular Meshes. BibRef

Fernŕndez, X.[Xavier],
Implicit Model-oriented Optimal Thresholding Using the Kolmogorov-Smirnov Similarity Measure,
ICPR00(Vol I: 466-469).
IEEE DOI 0009
BibRef

Froment, J.,
Perceptible Level Lines and Isoperimetric Ratio,
ICIP00(Vol II: 112-115).
IEEE DOI 0008
BibRef

Lu, H.Q.[Han-Qing], Lu, W.[Wu], Ma, S.D.[Song-De],
An Effective Entropic Thresholding for Ultrasonic Images,
ICPR98(Vol II: 1552-1554).
IEEE DOI 9808
BibRef

Liu, Z.Q.A.[Zhi-Qi-Ang], Cai, J.H.[Jin-Hai],
A New Thresholding Algorithm Based on All-Pole Model,
ICPR98(Vol I: 34-36).
IEEE DOI 9808
BibRef

Kober, R.[Rudolf], Kampke, T.[Thomas],
Nonparametric Optimal Binarization,
ICPR98(Vol I: 27-29).
IEEE DOI 9808
BibRef

Larsen, O.V.[Ole Vilhelm], Stenholt, O.[Ole], and Sorensen, R.[Rico],
Model-Based and Automatic Selection of Statistical Parameters Used in Segmentation of MR Images,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Wang, W.X.[Wei-Xing],
Global Thresholding Algorithms for Aggregate Images,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Deruyver, A., Hode, Y.,
Automatic Multi-Thresholdable Image Segmentation by Using Separating Bipoints,
ICPR96(II: 457-461).
IEEE DOI 9608
(I.U.T. Strasbourg Sud, F) BibRef

Ziou, D.,
Optimal Thresholding for Image Segmentation,
2nd African Conference on Research in Computer ScienceBurkina-Faso, Sept. 1994. BibRef 9409

Shapiro, V.A., Veleva, P.K., Sgurev, V.S.,
An adaptive method for image thresholding,
ICPR92(III:696-699).
IEEE DOI 9208
BibRef

Shio, A.,
An Automatic Thresholding Algorithm Based on an Illumination-Independent Contrast Measure,
CVPR89(632-637).
IEEE DOI (NTT) Adaptive threshold due to camera characteristics. BibRef 8900

Pavlidis, T., and Wolberg, G.,
An Algorithm for the Segmentation of Bilevel Images,
CVPR86(570-575). Uses the gray level representation of the binary image, a process to eliminate the joining of nearby letters when the input is slightly blurred. BibRef 8600

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Shadow Detection and Extraction .


Last update:Sep 18, 2017 at 11:34:11