8.10 Color Applied to Segmentation

Chapter Contents (Back)
Color Segmentation. Segmentation, Color. See also Color, General Issues. See also Range and Color, RGB-D Segmentation and Analysis.

Wright, W.A.,
A Markov Random Field Approach to Data Fusion and Colour Segmentation,
IVC(7), No. 2, May 1989, pp. 144-150.
WWW Link. Segmentation, Texture. Data Fusion. BibRef 8905

Schettini, R.,
A Segmentation Algorithm for Color Images,
PRL(14), June 1993, pp. 499-506. BibRef 9306

France, A.D.[Alexander D.],
Methods and apparatus for defining contours in colored images,
US_Patent5,172,423, Dec 15, 1992
WWW Link. Segment based on color. Basic, given a color, find the region. BibRef 9212

Perez, F., Koch, C.,
Toward Color Image Segmentation in Analog VLSI: Algorithm and Hardware,
IJCV(12), No. 1, February 1994, pp. 17-42.
Springer DOI BibRef 9402

Hanna, K.J.[Keith J.], Burt, P.J.[Peter J.],
Video merging employing pattern-key insertion,
US_Patent5,566,251, Oct 15, 1996
WWW Link. Chroma key BibRef 9610

Saber, E., Tekalp, A.M., Eschbach, R., Knox, K.,
Automatic Image Annotation Using Adaptive Color Classification,
GMIP(58), No. 2, March 1996, pp. 115-126. Color clustering based segmentation. See also Region-Based Shape-Matching for Automatic Image Annotation and Query-by-Example. BibRef 9603

Littmann, E., Ritter, H.,
Adaptive Color Segmentation: A Comparison of Neural and Statistical-Methods,
TNN(8), No. 1, January 1997, pp. 175-185. 9701
BibRef

Ferri, F.J., Vidal, E.,
Colour Image Segmentation and Labeling Through Multiedit-Condensing,
PRL(13), 1992, pp. 561-568. BibRef 9200

Verikas, A., Malmqvist, K., Bergman, L.,
Color Image Segmentation by Modular Neural-Network,
PRL(18), No. 2, February 1997, pp. 173-185. 9704
BibRef

Verikas, A., Signahl, M., Malmqvist, K.,
Segmentation Of Colour Images Containing Highly Similar Colour Regions,
SSAB97(Sensors) 9703
BibRef

Bergman, L., Verikas, A., Bacauskiene, M.,
Unsupervised colour image segmentation applied to printing quality assessment,
IVC(23), No. 4, 1 April 2005, pp. 417-425.
WWW Link. 0501
BibRef

Campadelli, P., Medici, D., Schettini, R.,
Color Image Segmentation Using Hopfield Networks,
IVC(15), No. 3, March 1997, pp. 161-166.
WWW Link. 9704
BibRef
Earlier:
Using Hopfield networks to segment color images,
CIAP95(24-30).
Springer DOI 9509
BibRef

Campadelli, P., Mora, P., Schettini, R.,
Using Hopfield networks in the nominal color coding of classified images,
ICPR94(B:112-116).
IEEE DOI 9410
BibRef

Kambhatla, N., Haykin, S., Dony, R.D.,
Image Compression Using KLT, Wavelets and an Adaptive Mixture of Principal Components Model,
VLSIVideo(18), No. 3, April 1998, pp. 287-296. 9806
BibRef

Dony, R.D., Haykin, S.,
Image Segmentation Using a Mixture of Principal Components Representation,
VISP(144), No. 2, April 1997, pp. 73-80. 9706
BibRef
Earlier:
Self-organizing segmentor and feature extractor,
ICIP94(III: 898-902).
IEEE DOI 9411
BibRef

Sammouda, R.[Rachid], Niki, N.[Noboru], Nishitani, H.[Hiromu],
Hopfield Neural-Network for the Multichannel Segmentation of Magnetic-Resonance Cerebral Images,
PR(30), No. 6, June 1997, pp. 921-927.
WWW Link. 9706
BibRef
Earlier:
Multichannel segmentation of magnetic resonance cerebral images based on neural networks,
ICIP95(II: 484-487).
IEEE DOI 9510
BibRef

Zugaj, D.[Didier], Lattuati, V.[Vincent],
A New Approach of Color Images Segmentation Based on Fusing Region and Edge Segmentations Outputs,
PR(31), No. 2, February 1998, pp. 105-113.
WWW Link. 9802
Regions and Edges. BibRef

Yung, H.C., Lai, H.S.,
Segmentation of Color Images Based on the Gravitational Clustering Concept,
OptEng(37), No. 3, March 1998, pp. 989-1000. 9804
BibRef

Park, S.H.[Sang Ho], Yun, I.D.[Il Dong], Lee, S.U.[Sang Uk],
Color Image Segmentation Based on 3-D Clustering: Morphological Approach,
PR(31), No. 8, August 1998, pp. 1061-1076.
WWW Link. 9807
BibRef

Shafarenko, L., Petrou, M., Kittler, J.V.,
Histogram Based Segmentation in a Perceptually Uniform Color Space,
IP(7), No. 9, September 1998, pp. 1354-1358.
IEEE DOI 9809
See also Automatic Watershed Segmentation of Randomly Textured Color Images. BibRef

Borsotti, M., Campadelli, P., Schettini, R.,
Quantitative Evaluation of Color Image Segmentation Results,
PRL(19), No. 8, June 1998, pp. 741-747. 9808
Evaluation, Segmentation. BibRef

Lambert, P.[Patrick], Carron, T.[Thierry],
Symbolic fusion of luminance-hue-chroma features for region segmentation,
PR(32), No. 11, November 1999, pp. 1857-1872.
WWW Link. BibRef 9911
Earlier: A2, A1:
Symbolic fusion of hue-chroma-intensity features for region segmentation,
ICIP96(II: 971-974).
IEEE DOI 9610
BibRef

Rodriguez Yi, J.L., Shimabukuro, Y.E., Rudorff, B.F.T.,
Image segmentation for classification of vegetation using NOAA-AVHRR data,
JRS(21), No. 1, January 2000, pp. 167. 9911
BibRef

Dubuisson-Jolly, M.P., Gupta, A.,
Color and Texture Fusion: Application to Aerial Image Segmentation and GIS Updating,
IVC(18), No. 10, July 2000, pp. 823-832.
WWW Link. 0005
BibRef
Earlier: WACV96(2-7).
IEEE DOI 9609
BibRef

Koutsias, N.[Nikos], Karteris, M.[Michael], Chuvico, E.[Emilio],
The Use of Intensity-Hue-Saturation Transformation of Landsat-5 Thematic Mapper Data for Burned Land Mapping,
PhEngRS(66), No. 7, July 2000, pp. 829-840. Transforming the RGB values of a three-channel composite to IHS values, the spectral information, needed to map the burned land, is efficiently separated in the hue component. 0008
BibRef

Tremeau, A., Colantoni, P.,
Regions Adjacency Graph Applied to Color Image Segmentation,
IP(9), No. 4, April 2000, pp. 735-744.
IEEE DOI 0004
BibRef

Lozano, V.[Vincent], Colantoni, P., Laget, B.,
Color Object Detection Using Pyramidal Adjacency Graphs,
ICIP96(III: 1007-1010).
IEEE DOI BibRef 9600

Maxwell, B.A.[Bruce A.], and Shafer, S.A.[Steven A.],
Physics-Based Segmentation of Complex Objects Using Multiple Hypotheses of Image-Formation,
CVIU(65), No. 2, February 1997, pp. 269-295.
DOI Link 9704
Segmentation, Color. BibRef
Earlier:
Physics-Based Segmentation: Moving beyond Color,
CVPR96(742-749).
IEEE DOI BibRef
And:
Physics-Based Segmentation: Looking Beyond Color,
ARPA96(867-878). BibRef
And: CMU-RI-TR-95-37, October 1995. BibRef
Earlier:
A Framework for Segmentation Using Physical Models of Image Formation,
CVPR94(361-368).
IEEE DOI BibRef
And: ARPA94(II:1513-1522). BibRef CMU-RI-TR-93-29, December 1993. BibRef

Maxwell, B.A.[Bruce A.], Shafer, S.A.[Steven A.],
Segmentation and Interpretation of Multicolored Objects with Highlights,
CVIU(77), No. 1, January 2000, pp. 1-24.
DOI Link 0001
BibRef

Maxwell, B.A.[Bruce A.],
Segmentation and Interpretation Using Multiple Physical Hypotheses of Image Formation,
Ph.D.Thesis, July, 1996. BibRef 9607 CMU-RI-TR-96-28. BibRef

Valavanis, K.P., Zheng, J., Paschos, G.,
A Total Color-Difference Measure for Segmentation in Color Images,
JIRS(16), No. 3, July 1996, pp. 269-313. 9609
BibRef

Cheng, H.D., Sun, Y.,
A Hierarchical Approach to Color Image Segmentation Using Homogeneity,
IP(9), No. 12, December 2000, pp. 2071-2082.
IEEE DOI 0011
BibRef

Cheng, H.D., Li, J.,
Fuzzy homogeneity and scale-space approach to color image segmentation,
PR(36), No. 7, July 2003, pp. 1545-1562.
WWW Link. 0304
BibRef

Ben-Ezra, M., Werman, M., Bar-Yam, Y.,
A self stabilizing robust region finder applied to color and optical flow pictures,
IVC(19), No. 7, May 2001, pp. 427-433.
WWW Link. 0104
BibRef

Lofy, B.[Brian], Sklansky, J.[Jack],
Segmenting multisensor aerial images in class-scale space,
PR(34), No. 9, September 2001, pp. 1825-1839.
WWW Link. 0108
BibRef

Lucchese, L., Mitra, S.K.,
Colour segmentation based on separate anisotropic diffusion of chromatic and achromatic channels,
VISP(148), No. 3, June 2001, pp. 141-150. 0108
BibRef

Deng, Y.[Yining], Manjunath, B.S.,
Unsupervised Segmentation of Color-Texture Regions in Images and Video,
PAMI(23), No. 8, August 2001, pp. 800-810.
IEEE DOI 0109
The JSEG Algorithm. Color quantization, then spatial segmentation. Quantize colors to representative classes. Focus is on spatial segmentation of the class map. Then a new image to code boundary and interior, using a region growing method on this encoded image. See also Efficient Color Representation for Image Retrieval, An. BibRef

Deng, Y.[Yining], Manjunath, B.S., Shin, H.D.[Hyun-Doo],
Color Image Segmentation,
CVPR99(II: 446-451).
IEEE DOI
PDF File. Quantize the color then segment. Apply multiple levels. BibRef 9900

Cheng, H.D., Jiang, X.H., Sun, Y., Wang, J.L.[Jing-Li],
Color image segmentation: advances and prospects,
PR(34), No. 12, December 2001, pp. 2259-2281.
WWW Link. 0110
BibRef

Chen, T.Q.[Tie Qi], Lu, Y.[Yi],
Color image segmentation: An innovative approach,
PR(35), No. 2, February 2002, pp. 395-405.
WWW Link. 0201
BibRef

Ong, S.H., Yeo, N.C., Lee, K.H., Venkatesh, Y.V., Cao, D.M.,
Segmentation of color images using a two-stage self-organizing network,
IVC(20), No. 4, April 2002, pp. 279-289.
WWW Link. 0203
BibRef

Yeo, N.C., Lee, K.H., Venkatesh, Y.V., Ong, S.H.[Sim-Heng],
Colour image segmentation using the self-organizing map and adaptive resonance theory,
IVC(23), No. 12, 1 November 2005, pp. 1060-1079.
WWW Link. 0510
BibRef

Yang, J.F.[Jar-Ferr], Hao, S.S.[Shu-Sheng], Chung, P.C.[Pau-Choo],
Color image segmentation using fuzzy C-means and eigenspace projections,
SP(82), No. 3, 2002, pp. 461-472.
HTML Version. 0205
BibRef

Kurugollu, F.[Fatih], Sankur, B.[Bülent], Harmanc, A.E.[A. Emre],
Image segmentation by relaxation using constraint satisfaction neural network,
IVC(20), No. 7, May 2002, pp. 483-497.
WWW Link. 0206
See also Color image segmentation using histogram multithresholding and fusion. BibRef

Kurugollu, F., Sankur, B.,
MAP Segmentation of Color Images Using Constraint Satisfaction Neural Network,
ICIP99(III:236-239).
IEEE DOI BibRef 9900
Earlier:
Color Cell Image Segmentation Using Pyramidal Constraint Satisfaction Neural Network,
MVA98(xx-yy). BibRef

Lezoray, O., Cardot, H.,
Cooperation of color pixel classification schemes and color watershed: a study for microscopic images,
IP(11), No. 7, July 2002, pp. 783-789.
IEEE DOI 0207
BibRef
Earlier:
Bayesian marker extraction for color watershed in segmenting microscopic images,
ICPR02(I: 739-742).
IEEE DOI 0211
BibRef

Lezoray, O., Charrier, C.,
Color image segmentation using morphological clustering and fusion with automatic scale selection,
PRL(30), No. 4, 1 March 2009, pp. 397-406.
Elsevier DOI 0903
Color; Segmentation; Clustering; Mathematical morphology; Scale selection BibRef

Pal, S.K., Mitra, P.,
Multispectral image segmentation using the rough-set-initialized EM algorithm,
GeoRS(40), No. 11, November 2002, pp. 2495-2501.
IEEE Top Reference. 0301
BibRef

Paclík, P., Duin, R.P.W., van Kempen, G.M.P., Kohlus, R.,
Segmentation of multi-spectral images using the combined classifier approach,
IVC(21), No. 6, June 2003, pp. 473-482.
WWW Link.
PDF File. 0306
See also Supervised segmentation of textures in backscatter images. BibRef

Paclík, P., Duin, R.P.W., van Kempen, G.M.P.,
Segmentation of multi-spectral images using a combined classifier approach,
SCIA01(230-235).
PS File. 0206
BibRef

Nikolaev, D.P.[Dmitry P.], Nikolayev, P.P.[Petr P.],
Linear color segmentation and its implementation,
CVIU(94), No. 1-3, April-June 2004, pp. 115-139.
WWW Link. 0405
BibRef

Navon, E.[Ety], Miller, O.[Ofer], Averbuch, A.[Amir],
Color image segmentation based on adaptive local thresholds,
IVC(23), No. 1, 1 January 2004, pp. 69-85.
WWW Link. 0412
BibRef

Nock, R.[Richard], Nielsen, F.[Frank],
Semi-supervised statistical region refinement for color image segmentation,
PR(38), No. 6, June 2005, pp. 835-846.
WWW Link. 0501
BibRef
Earlier:
Grouping with bias revisited,
CVPR04(II: 460-465).
IEEE DOI 0408
Segmentation by finding intrinsic clusters. See also Statistical Region Merging. BibRef

Nielsen, F.[Frank], Nock, R.[Richard],
Interactive Pinpoint Image Object Removal,
CVPR05(II: 1191).
IEEE DOI 0507
BibRef
And:
Interactive Point-and-Click Segmentation for Object Removal in Digital Images,
CVHCI05(131).
Springer DOI 0601
BibRef

Nock, R., Page, V.,
Grouping with bias for distribution-free mixture model estimation,
ICPR04(II: 44-47).
IEEE DOI 0409
BibRef

Nock, R.[Richard],
Fast and Reliable Color Region Merging Inspired by Decision Tree Pruning,
CVPR01(I:271-276).
IEEE DOI 0110
Color segmentation. BibRef

Hamid, A., Allaoui, R., Sbihi, A.,
Color Image Segmentation Based Upon a New Statistical Pattern Classification Approach,
GVIP(05), No. V4, 2005, pp. xx-yy
HTML Version. BibRef 0500

Deshmukh, K.S., Shinde, G.N.,
An Adaptive Color Image Segmentation,
ELCVIA(5), No. 4, December 2006, pp. 12-23.
WWW Link. 0601
BibRef

Arbeláez, P.A.[Pablo Andrés], Cohen, L.D.[Laurent D.],
Energy Partitions and Image Segmentation,
JMIV(20), No. 1-2, January-March 2004, pp. 43-57.
DOI Link
PDF File. 0403
Low-level segmentation for real-valued images. BibRef

Arbeláez, P.A.[Pablo A.], Cohen, L.D.[Laurent D.],
A Metric Approach to Vector-Valued Image Segmentation,
IJCV(69), No. 1, August 2006, pp. 119-126.
Springer DOI 0606
Voronoi Diagrams. Formulation of the problem in the metric framework, as a Voronoi tessellation of the image domain. 2 steps: presegmentation, hierarchical representation. BibRef

Arbelaez, P.A.[Pablo A.], and Cohen, L.D.[Laurent D.],
Segmentation d'Images Couleur par partitions de Voronoi,
Traitement du Signal(21), No. 5, Fefgrier 2005, pp. 20-40.
PDF File. BibRef 0500
Earlier:
Generalized Voronoi Tesselations for Vector-Valued Image Segmentation,
LevelSet03(xx-yy).
PDF File. BibRef

Arbelaez, P.A.[Pablo A.], Cohen, L.D.[Laurent D.],
Constrained image segmentation from hierarchical boundaries,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Luo, Q., Khoshgoftaar, T.M.,
Unsupervised Multiscale Color Image Segmentation Based on MDL Principle,
IP(15), No. 9, August 2006, pp. 2755-2761.
IEEE DOI 0608
BibRef

Al Aghbari, Z.[Zaher], Al-Haj, R.[Ruba],
Hill-manipulation: An effective algorithm for color image segmentation,
IVC(24), No. 8, August 2006, pp. 894-903.
WWW Link. 0608
Hill-manipulation; Color segmentation BibRef

Angulo, J.[Jesus], Serra, J.[Jean],
Modelling and segmentation of colour images in polar representations,
IVC(25), No. 4, April 2007, pp. 475-495.
WWW Link. 0702
BibRef
Earlier:
Color segmentation by ordered mergings,
ICIP03(II: 125-128).
IEEE DOI 0312
Colour mathematical morphology; Colour segmentation; Saturation; Norms; Bi-variate histograms; Jump connection BibRef

Ma, Y.[Yi], Derksen, H.[Harm], Hong, W.[Wei], Wright, J.[John],
Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression,
PAMI(29), No. 9, September 2007, pp. 1546-1562.
IEEE DOI 0709
More than just color. Analyze the coding for segmentation. BibRef

Wright, J.[John], Ma, Y.[Yi], Tao, Y.Y.[Yang-Yu], Lin, Z.C.[Zhou-Chen], Shum, H.Y.[Heung-Yeung],
Classification Via Minimum Incremental Coding Length,
SIIMS(2), No. 2, 2009, pp. 367-395. classification; lossy data coding; regularization; maximum a posteriori; regularized discriminant analysis
DOI Link BibRef 0900

Yang, A.Y.[Allen Y.], Wright, J.[John], Ma, Y.[Yi], Sastry, S.S.[S. Shankar],
Unsupervised segmentation of natural images via lossy data compression,
CVIU(110), No. 2, May 2008, pp. 212-225.
WWW Link. 0804
Texture segmentation; Lossy compression; Mixture of Gaussian distributions; Clustering BibRef

Tai, Y.W.[Yu-Wing], Jia, J.Y.[Jia-Ya], Tang, C.K.[Chi-Keung],
Soft Color Segmentation and Its Applications,
PAMI(29), No. 9, September 2007, pp. 1520-1537.
IEEE DOI 0709
Segments with overlap needed for natural looking image synthesis. BibRef

Mobahi, H.[Hossein], Rao, S.R.[Shankar R.], Yang, A.Y.[Allen Y.], Sastry, S.S.[Shankar S.], Ma, Y.[Yi],
Segmentation of Natural Images by Texture and Boundary Compression,
IJCV(95), No. 1, October 2011, pp. 86-98.
WWW Link. 1108
BibRef
Earlier: A2, A1, A3, A4, A5:
Natural Image Segmentation with Adaptive Texture and Boundary Encoding,
ACCV09(I: 135-146).
Springer DOI 0909
BibRef

Kim, C.[Chiho], You, B.J.[Bum-Jae], Jeong, M.H.[Mun-Ho], Kim, H.[Hagbae],
Color segmentation robust to brightness variations by using B-spline curve modeling,
PR(41), No. 1, January 2008, pp. 22-37.
WWW Link. 0710
Color consistency; Color segmentation; B-spline curve; Brightness variations; Color model BibRef

Tao, W., Jin, H., Zhang, Y.,
Color Image Segmentation Based on Mean Shift and Normalized Cuts,
SMC-B(37), No. 5, October 2007, pp. 1382-1389.
IEEE DOI 0711
See also Normalized Cuts and Image Segmentation. BibRef

Tao, W., Jin, H., Zhang, Y., Liu, L., Wang, D.,
Image Thresholding Using Graph Cuts,
SMC-A(38), No. 5, September 2008, pp. 1181-1195.
IEEE DOI 0809
BibRef

Heidemann, G.[Gunther],
Region saliency as a measure for colour segmentation stability,
IVC(26), No. 2, 1 February 2008, pp. 211-227.
WWW Link. 0711
Colour segmentation; Saliency; Adaptation; Unsupervised learning BibRef

Mushrif, M.M.[Milind M.], Ray, A.K.[Ajoy K.],
Color image segmentation: Rough-set theoretic approach,
PRL(29), No. 4, 1 March 2008, pp. 483-493.
WWW Link. 0711
Segmentation; Rough set; Histon; Histogram BibRef

Mushrif, M.M.[Milind M.], Ray, A.K.[Ajoy K.],
A-IFS Histon Based Multithresholding Algorithm for Color Image Segmentation,
SPLetters(16), No. 3, March 2009, pp. 168-171.
IEEE DOI 0903
BibRef

Mushrif, M.M.[Milind M.], Sengupta, S., Ray, A.K.,
Texture Classification Using a Novel, Soft-Set Theory Based Classification Algorithm,
ACCV06(I:246-254).
Springer DOI 0601
BibRef

Nadarajah, S.[Saralees],
An Approximate Distribution for the Normalized Cut,
JMIV(32), No. 1, September 2008, pp. xx-yy.
Springer DOI 0804
See also Normalized Cuts and Image Segmentation. BibRef

Verma, N.K.[Nishchal K.], Hanmandlu, M.,
Color Segmentation Via Improved Mountain Clustering Technique,
IJIG(7), No. 2, April 2007, pp. 407-426. 0704
BibRef

Rotaru, C.[Calin], Graf, T.[Thorsten], Zhang, J.W.[Jian-Wei],
Color image segmentation in HSI space for automotive applications,
RealTimeIP(3), No. 4, December 2008, pp. xx-yy.
Springer DOI 0811
BibRef

Kuan, Y.H.[Yu-Hsin], Kuo, C.M.[Chung-Ming], Yang, N.C.[Nai-Chung],
Color-Based Image Salient Region Segmentation Using Novel Region Merging Strategy,
MultMed(10), No. 5, August 2008, pp. 832-845.
IEEE DOI 0905
BibRef

Araujo, A.R.F.[Aluizio R.F.], Costa, D.C.[Diogo C.],
Local adaptive receptive field self-organizing map for image color segmentation,
IVC(27), No. 9, 3 August 2009, pp. 1229-1239.
Elsevier DOI 0906
Self-organizing map; Color segmentation; Adaptive receptive-field; Image processing BibRef

Kay, D.A., Tomasi, A.,
Color Image Segmentation by the Vector-Valued Allen-Cahn Phase-Field Model: A Multigrid Solution,
IP(18), No. 10, October 2009, pp. 2330-2339.
IEEE DOI 0909
BibRef

Leyk, S.[Stefan], Boesch, R.[Ruedi],
Colors of the past: color image segmentation in historical topographic maps based on homogeneity,
GeoInfo(14), No. 1, January 2010, pp. xx-yy.
Springer DOI 1001
BibRef

Demarcq, G.[Guillaume], Mascarilla, L.[Laurent], Berthier, M.[Michel], Courtellemont, P.[Pierre],
The Color Monogenic Signal: Application to Color Edge Detection and Color Optical Flow,
JMIV(40), No. 3, July 2011, pp. 269-284.
WWW Link. 1103
BibRef
Earlier: A1, A2, A4, Only:
The Color Monogenic Signal: A new framework for color image processing. application to color optical flow,
ICIP09(481-484).
IEEE DOI 0911
BibRef
And: A1, A2, A4, Only:
A Metric and Multiscale Color Segmentation Using the Color Monogenic Signal,
CAIP09(906-913).
Springer DOI 0909
BibRef

Demarcq, G., Le Capitaine, H., Berthier, M.,
Geodesic interactive segmentation in the color monogenic signal framework,
ICIP12(1573-1576).
IEEE DOI 1302
BibRef

Huang, R.[Rui], Sang, N.[Nong], Luo, D.P.[Da-Peng], Tang, Q.L.[Qi-Ling],
Image segmentation via coherent clustering in L*a*b* color space,
PRL(32), No. 7, 1 May 2011, pp. 891-902.
Elsevier DOI 1101
Image segmentation; Superpixel; Semi-supervised discriminant analysis; Clustering BibRef

Heidary, K.[Kaveh], Caulfield, H.J.[H. John],
Presmoothing effects in Artificial Color image segmentation,
CVIU(117), No. 3, March 2013, pp. 195-201.
Elsevier DOI 1302
Image segmentation; Pattern recognition; Image processing; Classification BibRef

Severino, Jr., O.[Osvaldo], Gonzaga, A.[Adilson],
A new approach for color image segmentation based on color mixture,
MVA(24), No. 3, April 2013, pp. 607-618.
WWW Link. 1303
BibRef

Moreno, R., Grana, M., Ramík, D.M.[Dominik Maximilián], Madani, K.[Kurosh],
Image segmentation on spherical coordinate representation of RGB colour space,
IET-IPR(6), No. 9, 2012, pp. 1275-1283.
DOI Link 1302
BibRef

Ramík, D.M.[Dominik Maximilián], Madani, K.[Kurosh], Sabourin, C.[Christophe],
From visual patterns to semantic description: A cognitive approach using artificial curiosity as the foundation,
PRL(34), No. 14, 2013, pp. 1577-1588.
Elsevier DOI 1308
Cognitive system BibRef

An, N.Y.[Ning-Yu], Pun, C.M.[Chi-Man],
Color image segmentation using adaptive color quantization and multiresolution texture characterization,
SIViP(8), No. 5, July 2014, pp. 943-954.
WWW Link. 1407
BibRef

Khan, A.[Ahmad], Ullah, J.[Javid], Jaffar, M.A.[M. Arfan], Choi, T.S.[Tae-Sun],
Color image segmentation: a novel spatial fuzzy genetic algorithm,
SIViP(8), No. 7, October 2014, pp. 1233-1243.
Springer DOI 1410
BibRef

Cho, S.I.[Sung In], Kang, S.J.[Suk-Ju], Kim, Y.H.[Young Hwan],
Human perception-based image segmentation using optimising of colour quantisation,
IET-IPR(8), No. 12, 2014, pp. 761-770.
DOI Link 1412
computational complexity BibRef

Lee, J.E.[Ji-Eun], Park, R.H.[Rae-Hong],
Segmentation with saliency map using colour and depth images,
IET-IPR(9), No. 1, 2015, pp. 62-70.
DOI Link 1502
adaptive filters BibRef

Tsai, C.Y.[Chi-Yi], Liu, T.Y.[Tsung-Yen],
Real-time automatic multilevel color video thresholding using a novel class-variance criterion,
MVA(26), No. 2-3, April 2015, pp. 233-249.
Springer DOI 1504
BibRef

Hell, B., Kassubeck, M., Bauszat, P., Eisemann, M., Magnor, M.,
An Approach Toward Fast Gradient-Based Image Segmentation,
IP(24), No. 9, September 2015, pp. 2633-2645.
IEEE DOI 1506
fast multilabel color image segmentation. convex programming BibRef

Shih, H.C., Liu, E.R.,
Automatic Reference Color Selection for Adaptive Mathematical Morphology and Application in Image Segmentation,
IP(25), No. 10, October 2016, pp. 4665-4676.
IEEE DOI 1610
image colour analysis BibRef

Khelifi, L., Mignotte, M.,
A Multi-Objective Decision Making Approach for Solving the Image Segmentation Fusion Problem,
IP(26), No. 8, August 2017, pp. 3831-3845.
IEEE DOI 1707
BibRef
Earlier:
A multi-objective approach based on TOPSIS to solve the image segmentation combination problem,
ICPR16(4220-4225)
IEEE DOI 1705
BibRef
And:
GCE-based model for the fusion of multiples color image segmentations,
ICIP16(2574-2578)
IEEE DOI 1610
BibRef
And:
A new multi-criteria fusion model for color textured image segmentation,
ICIP16(2579-2583)
IEEE DOI 1610
Clustering algorithms, Decision making, Entropy, Image edge detection, Image segmentation, Optimization, Energy measurement. image fusion, iterative methods, F-measure criterion, complementary segmentation criteria, deterministic iterative relaxation strategy, dominance concept, global consistency error, image segmentation fusion problem, multiobjective consensus energy function, multiobjective decision making approach, multiobjective energy-based model, multiobjective optimization, precision-recall criterion, technique-for-order performance-by-similarity-to-ideal solution, Bayes methods, Decision making, Deformable models, Image segmentation, Indexes, Merging, Optimization, Color textured image segmentation, F-measure (precision-recall) criterion, combination of multiple segmentations, energy-based model, global consistency error, multi-criteria decision making, multi-objective optimization, segmentation, ensemble BibRef

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SMCS(47), No. 9, September 2017, pp. 2489-2502.
IEEE DOI 1708
Cybernetics, Energy measurement, Estimation, Image segmentation, Indexes, Measurement uncertainty, Berkeley image dataset, cluster ensemble algorithm, color textured image segmentation, combination of multiple segmentations, energy-based model, global consistency error (GCE), label field fusion, penalized likelihood model, segmentation ensemble BibRef

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JMIV(59), No. 2, October 2017, pp. 161-186.
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SSVM15(256-269).
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Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Color Segmentation, Healey .


Last update:Dec 7, 2017 at 17:23:10