8.3.9 Other Threshold Selection Systems

Chapter Contents (Back)
Segmentation, Thresholds.

Cordella, L.P., Duff, M.J.B., Levialdi, S.,
Thresholding: A Challenge for Parallel Processing,
CGIP(6), 1977, pp. 207-220. BibRef 7700

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

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

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. BibRef 8904
Earlier: ICPR88(I: 270-275).
WWW Version.
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).
WWW Version. 9208Hardware 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).
WWW Version. 9208 BibRef

Velasco, F.R.D.,
Thresholding Using the ISODATA Clustering Algorithm,
SMC(10), No. 11, November 1980, pp. 771-774. Clustering. BibRef 8011

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).
WWW Version. 9510 BibRef

Lie, W.N.,
Automatic Target Segmentation by Locally Adaptive Image Thresholding,
IP(4), No. 7, July 1995, pp. 1036-1041.
WWW Version. 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.[Yongchun], 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).
WWW Version. 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.
WWW Version. 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.
WWW Version. 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.[Zhenghong],
Thresholding implemented in the frequency domain,
IP(10), No. 5, May 2001, pp. 708-714.
WWW Version. 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

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).
WWW Version. 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. 0611Block 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. 0711Multilevel 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.
WWW Version. 0706Discrete energy funcional, and implement differentiation. BibRef

Pock, T.[Thomas], Bischof, H.[Horst],
A Probabilistic Multi-phase Model for Variational Image Segmentation,
DAGM06(71-80).
WWW Version. 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. 0711Restricted equivalence functions; Restricted dissimilarity functions; Distance measures; Fuzzy entropy; Implication operators; Image thresholding BibRef


Ray, N.[Nilanjan], Saha, B.N.[Baidya Nath],
Edge Sensitive Variational Image Thresholding,
ICIP07(VI: 37-40).
WWW Version. 0709 BibRef

Huang, X.X.[Xia-Xi], Boulgouris, N.V.[Nikolaos V.],
Robust Object Segmentation using Adaptive Thresholding,
ICIP07(I: 45-48).
WWW Version. 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).
WWW Version. 0702From 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
WWW Version. BibRef

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

Yu, L.[Li], Hoover, A.[Adam],
Threshold Selection as a Function of Region Count Stability,
PercOrg04(59).
WWW Version. 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).
WWW Version.
HTML Version. 0009 BibRef
Earlier:
ICM method for multi-level thresholding using maximum entropy criterion,
CIAP99(108-113).
WWW Version. 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).
WWW Version.
HTML Version. 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).
WWW Version.
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).
WWW Version. 9808 BibRef

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

Kober, R.[Rudolf], Kampke, T.[Thomas],
Nonparametric Optimal Binarization,
ICPR98(Vol I: 27-29).
WWW Version. 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).
WWW Version. 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 9400

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


Last update:May 8, 2008 at 19:01:47