8.3.9 Other Threshold Selection Systems

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 Version. BibRef 7706

Nakagawa, Y., and Rosenfeld, A.,
Some Experiments on Variable Thresholding,
PR(11), No. 3, 1979, pp. 191-204.
WWW Version. BibRef 7900

Pun, T.,
Entropic Thresholding: A New Approach,
CGIP(16), No. 3, July 1981, pp. 210-239.
WWW Version. 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 Version. 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 Abstract. IEEE Top Reference.
WWW Version. 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 Version. BibRef 9003
And:
Apparatus for thresholding an image signal,
US_Patent4,918,543, Apr 17, 1990
WWW Version. BibRef

Parker, J.R.,
Gray Level Thresholding in Badly Illuminated Images,
PAMI(13), No. 8, August 1991, pp. 813-819.
IEEE Abstract. IEEE Top Reference.
WWW Version. 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 Version. 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., Haralick, R.M., and Yi, S.,
Improvement of Kittler and Illingworth's Minimum Error Thresholding,
PR(22), No. 5, 1989, pp. 609-617.
WWW Version. See also Minimum Error Thresholding. BibRef 8900

Kittler, J.V., Illingworth, J., (SERC, UK) and Föglein, J., (Hungary),
Threshold Selection Based on a Simple Image Statistic,
CVGIP(30), No. 2, May 1985, pp. 125-147.
WWW Version. Segmentation, Binarization. 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 Version. 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 Version. 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 Version. BibRef 8904
Earlier: ICPR88(I: 270-275).
IEEE DOI Link
IEEE Top Reference. 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 Link 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 Link 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 Version. BibRef 9208

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

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

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

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

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

Pikaz, A., Averbuch, A.,
Digital Image Thresholding, Based on Topological Stable-State,
PR(29), No. 5, May 1996, pp. 829-843.
WWW Version. 9605
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., Bilbro, G., 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., Varshney, P.K.,
Image Thresholding Based on Ali-Silvey Distance Measures,
PR(30), No. 7, July 1997, pp. 1161-1174.
WWW Version. 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 Link 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

Rout, S., Seethalakshmy, A.G., Srivastava, P., Majumdar, J.,
Multimodal Image Segmentation Using a Modified Hopfield Neural Network,
PR(31), No. 6, June 1998, pp. 743-750.
WWW Version. 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 Link 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 Abstract. IEEE Top Reference.
WWW Version. 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 Version. 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 Link 0105
BibRef

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

Snidaro, L., Foresti, G.L.,
Real-time thresholding with Euler numbers,
PRL(24), No. 9-10, June 2003, pp. 1533-1544.
WWW Version. 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. IEEE Top Reference. 0407
BibRef
Earlier:
Constrast based color segmentation with adaptive thresholds,
ICIP02(II: 73-76).
IEEE Abstract. IEEE Top Reference. 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 Version. 0407
BibRef

Kwon, S.H.[Soon H.],
Threshold selection based on cluster analysis,
PRL(25), No. 9, 2 July 2004, pp. 1045-1050.
WWW Version. 0407
BibRef
And: Erratum: PRL(30), No. 10, 15 July 2009, pp. 950.
Elsevier DOI Link
WWW Version. 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 Version. 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 Version. 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 Link 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 Version. 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 Version. 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.
WWW Version. 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 Link 0706
Discrete energy functional, and implement differentiation. 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 Link 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 Link 0908
Total Variation (TV) regularization. BibRef

Unger, M., Pock, T., Trobin, W., Cremers, D., Bischof, H.,
TVSeg: Interactive Total Variation Based Image Segmentation,
BMVC08(xx-yy).
PDF Version. 0809
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 Link 0806
BibRef

Pock, T.[Thomas], Bischof, H.[Horst],
A Probabilistic Multi-phase Model for Variational Image Segmentation,
DAGM06(71-80).
Springer DOI Link 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 Version. 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.
WWW Version. 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.
WWW Version. 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 Link
WWW Version. 0902
BibRef
Earlier: A2, A1:
Edge Sensitive Variational Image Thresholding,
ICIP07(VI: 37-40).
IEEE DOI Link 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.
WWW Version. 0911
BibRef

Wang, H.[Hui], Ray, N.[Nilanjan], Zhang, H.[Hong],
Graph-cut optimization of the ratio of functions and its application to image segmentation,
ICIP08(749-752).
IEEE DOI Link 0810
BibRef

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

Gong, X.J.[Xiao-Jin], Subramanian, A.[Anbumani], Wyatt, C.L.[Christopher L.],
A Two-stage Algorithm for Shoreline Detection,
WACV07(40-40).
IEEE DOI Link 0702
From surface vehicles. Water from land, linear boundary. BibRef

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

IEEE DOI Link BibRef

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

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

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

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

Garcia, M.A.,
Acceleration of Filtering and Enhancement Operations Through Geometric Processing of Gray-level Images,
ICIP00(Vol I: 97-100).
IEEE Abstract. IEEE Top Reference. 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 Link
HTML Version. 0009
See also Approximation and Processing of Intensity Images with Discontinuity-Preserving Adaptive Triangular Meshes. BibRef

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

Froment, J.,
Perceptible Level Lines and Isoperimetric Ratio,
ICIP00(Vol II: 112-115).
IEEE Abstract. IEEE Top Reference. 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 Link 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 Link 9808
BibRef

Kober, R.[Rudolf], Kampke, T.[Thomas],
Nonparametric Optimal Binarization,
ICPR98(Vol I: 27-29).
IEEE DOI Link 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) 9705

HTML Version. BibRef

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

HTML Version. BibRef

Deruyver, A., Hode, Y.,
Automatic Multi-Thresholdable Image Segmentation by Using Separating Bipoints,
ICPR96(II: 457-461).
IEEE DOI Link 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 Link 9208
BibRef

Shio, A.,
An Automatic Thresholding Algorithm Based on an Illumination-Independent Contrast Measure,
CVPR89(632-637).
IEEE Abstract. IEEE Top Reference. (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
Cloud Detection, Shadow Detection and Extraction .