7.20.2 F.2. Segmentation

Chapter Contents (Back)

Williams, D.J., Shah, M.,
A Fast Algorithm For Active Contours And Curvature Estimation,
IU(55), 1992, pp. 14-26. BibRef

March, R.,
Visual Reconstruction With Discontinuities Using Variational Methods,
IVC(10), 1992, pp. 30-38. BibRef

Wang, T., Zhuang, X., Xing, X.,
Robust Segmentation Of Noisy Images Using A Neural Network Model,
IVC(10), 1992, pp. 233-240. BibRef

Hill, A., Taylor, C.J.,
Model-Based Image Interpretation Using Genetic Algorithms,
IVC(10), 1992, pp. 295-300. BibRef

Griffin, L.D., Colchester, A.C.F., Robinson, G.P.,
Scale And Segmentation Of Grey-Level Images Using Maximum Gradient Paths,
IVC(10), 1992, pp. 389-402. BibRef

Kaushal, T.P.,
Towards Visually Convincing Image Segmentation,
IVC(10), 1992, pp. 617-624. BibRef

Lin, Y., Dou, J., Zhang, E.,
Edge Expression Based On Tree Structure,
PR(25), 1992, pp. 507-517. BibRef

Lin, W.E., Tsao, E.C.K., Chen, C.T.,
Constraint Satisfaction In Neural Networks For Image Segmentation,
PR(25), 1992, pp. 679-693. BibRef

Rosin, P.L.,
Early Image Representation Using Regions Defined By Maximum Gradient Paths Betwen Singular Points,
PR(25), 1992, pp. 695-711. BibRef

Brailovsky, V.L.,
Vector Piece-Wise Regression Versus Clustering (Definition And Comparative Analysis),
PRL(13), 1992, pp. 227-235. BibRef

Huang, C.L.,
Parallel Image Segmentation Using Modified Hopfield Model,
PRL(13), 1992, pp. 345-353. BibRef


Ghosh, A., Pal, S.K.,
Neural Network, Self-Organization And Object Extraction,
PRL(13), 1992, pp. 387-397. BibRef

Xie, M.,
Edge Linking By Using Causal Neighborhood Window,
PRL(13), 1992, pp. 647-656. BibRef

Murtagh, F.,
Contiguity-Constrained Clustering For Image Analysis,
PRL(92), pp. 677-683. BibRef

Rignot, E., Chellappa, R.,
Segmentation Of Polarimetric Synthetic Aperture Radar Data,
T-IP(1), 1992, pp. 281-300. BibRef

Friedland, N.S., Rosenfeld, A.,
Compact Object Recognition Using Energy-Function Based Optimization,
T-PAMI(14), 1992, pp. 770-777. BibRef

Dumay, A.C.M., Claessens, M.N.A.J., Roos, C., Gerbrands, J.J., Reiber, J.M.C.,
Object Delineation,
T-PAMI(14), 1992, pp. 952-958. BibRef

Staib, L.H., Duncan, J.S.,
Boundary Finding With Parametrically Deformable Models,
T-PAMI(14), 1992, pp. 1061-1075. BibRef

Venkateswar, V., Chellappa, R.,
Extraction Of Straight Lines In Aerial Images,
T-PAMI(14), 1992, pp. 1111-1114. BibRef

Berna, A., Bongiovanni, G., Crescenzi, P., Guerra, C.,
Parallel Simulated Annealing For Shape Detection,
VF(92), pp. 47-56. BibRef

Khan, G.N., Gillies, D.F.,
Parallel-Hierarchical Image Partitioning And Region Extraction,
CVIP(92), pp. 123-140. BibRef

Reinhart, C., Nevatia, R.,
Parallel Linear Feature Extraction,
IUW(92), pp. 1049-1055. BibRef

Etoh, M., Shirai, Y., Asada, M.,
Contour Extraction By Mixture Density Description Obtained From Region Clustering,
ECCV(92), pp. 24-32. BibRef

Nowak, A., Florek, A., Piascik, T.,
Edge Tracing In A Priori Known Direction,
ECCV(92), pp. 38-42. BibRef

Herault, L., Horaud, R.,
Figure-Ground Discrimination By Mean Field Annealing,
ECCV(92), pp. 58-66. BibRef

Berthod, M., Giraudon, G., Stromboni, J.P.,
Deterministic Pseudo-Annealing: Optimization In Markov-Random-Fields/An Application To Pixel Classification,
ECCV(92), pp. 67-71. BibRef


Cox, I.J., Rehg, J.M., Hingorani, S.,
A Bayesian Multiple Hypothesis Approach To Contour Grouping,
ECCV(92), pp. 72-77. BibRef

Leonardis, A., Bajcsy, R.,
Finding Parametric Curves In An Image,
ECCV(92), pp. 653-657. BibRef

Otte, M., Nagel, H.H.,
Extraction Of Line Drawings From Gray Value Images By Non-Local Analysis Of Edge Element Structures,
ECCV(92), pp. 687-695. BibRef

Ramesh, V., Haralick, R.M.,
Random Perturbation Models & Performance Characterization In Computer Vision,
CVPR(92), pp. 521-527. BibRef

Sheinvald, J., Dom, B., Niblack, W., Banerjee, S.,
Detecting Parameterized Curve Segments Using Mdl And The Hough Transform,
CVPR(92), pp. 547-552. BibRef

Wu, Z., Leahy, R.,
Image Segmentation Via Edge Contour Finding: A Graph Theoretic Approach,
CVPR(92), pp. 613-619. BibRef

Houzelle, S., Giraudon, G.,
Model Based Region Segmentation Using Coocurrence Matrices,
CVPR(92), pp. 636-639. BibRef

Solina, F., Leonardis, A.,
Selective Scene Modeling,
ICPR(A), pp. 87-90. BibRef

Dengler, J., Guckes, M.,
Estimating A Global Shape Model For Objects With Badly Defined Boundaries,
ICPR(B), pp. 381-384. BibRef

Sheinvald, J., Dom, B., Niblack, W., Steele, D.,
Unsupervised Image Segmentation Using The Minimum Description Length Principle,
ICPR(B), pp. 709-712. BibRef

Wang, T., Zhuang, X., Xing, X.,
The Use Of Gibbs Random Fields For Image Segmentation,
ICPR(C), pp. 57-60. BibRef

Allagnat, O., Boucher, J.M., He, D.C., Pieczynski, N.,
Hidden Markov Fields And Unsupervised Segmentation Of Images,
ICPR(C), pp. 96-100. BibRef

Azencott, R., Graffigne, C.,
Non Supervised Segmentation Using Multi-Level Markov Random Fields,
ICPR(C), pp. 201-204. BibRef

de Graaf, C.N., Koster, A.S.E., Vincken, K.L., Viergever, M.A.,
Task-Directed Evaluation Of Image Segmentation Methods,
ICPR(C), pp. 219-222. BibRef


Melkemi, M., Chassery, J.M.,
Edge-Region Segmentation Process Based On Generalized Voronoi Diagram Representation,
ICPR(C), pp. 323-326. BibRef

Benois, J., Barba, D.,
Image Segmentation By Region-Contour Cooperation For Image Coding,
ICPR(C), pp. 331-334. BibRef

Gunsel, B., Jain, A.K.,
Visual Surface Reconstruction And Boundary Detection Using Stochastic Models,
ICPR(C), pp. 343-346. BibRef

(X. Yu), J. Yla-Jaaski, O. Huttunen, T. Vehkomaki, O. Sipila, And T. Katila, Image Segmentation Combining Region Growing And Edge Detection,
ICPR C, 481-484.

Vinod, V.V., Chaudhury, S., Mukherjee, J., Ghose, S.,
A Connectionist Approach For Gray Level Image Segmentation,
ICPR(C), pp. 489-492. BibRef

Salotti, M., Garbay, C.,
A New Paradigm For Segmentation,
ICPR(C), pp. 611-614. BibRef

Bascle, B., Deriche, R.,
Features Extraction Using Parametric Snakes,
ICPR(C), pp. 659-662. BibRef

Segawa, E., Xu, G., Tsuji, S.,
Minimal Region Extraction Using Expanding Active Contours,
ICPR(C), pp. 688-691. BibRef

Medina-Rodriguez, P., Fernandez-Garcia, E., Diaz-Urrestarazu, A.,
Adaptive Method For Image Segmentation,
CYBERNETICS SYSTEMS(23), 1992, pp. 299-312. BibRef

Murthy, C.A., Pal, S.K.,
Histogram Thresholding By Minimizing Graylevel Fuzziness,
IS(60), 1992, pp. 107-135. BibRef

Pal, S.K., Ghosh, A.,
Image Segmentation Using Fuzzy Correlation,
IS(62), 1992, pp. 223-250. BibRef

Pal, S.K., Dasgupta, A.,
Spectral Fuzzy Sets And Soft Thresholding,
IS(65), 1992, pp. 65-97. BibRef

Yu, S.S., Tsai, W.H.,
Relaxation By The Hopfield Neural Network,
PR(25), 1992, pp. 197-209. BibRef

Brink, A.D.,
Thresholding Of Digital Images Using Two-Dimensional Entropies,
PR(25), 1992, pp. 803-808. BibRef

Kurita, T., Otsu, N., Abdelmalik, N.,
Maximum Likelihood Thresholding Based On Population Mixture Models,
PR(25), 1992, pp. 1231-1240. BibRef


Tsai, D.M., Chen, Y.H.,
A Fast Histogram-Clustering Approach For Multi-Level Thresholding,
PRL(13), 1992, pp. 245-252. BibRef

Brunelli, R.,
Optimal Histogram Partitioning Using A Simulated Annealing Technique,
PRL(13), 1992, pp. 581-586. BibRef

Bhandari, D., Pal, N.R., Dutta Majumder, D.,
Fuzzy Divergence, Probability Measure Of Fuzzy Events And Image Thresholding,
PRL(13), 1992, pp. 857-867. BibRef

Pal, N.R., Pal, S.K.,
Entropy: A New Definition And Its Applications,
T-SMC(21), 1991, pp. 1260-1270. BibRef

Sahasrabudhe, S.C., Das Gupta, K.S.,
A Valley-Seeking Threshold Selection Technique,
CVIP(92), pp. 55-65. BibRef

Pachowicz, P.W.,
Local Characteristics Of Binary Images And Their Application To The Automatic Control Of Low-Level Robot Vision,
CVIP(92), pp. 67-102. BibRef

Postaire, J.G., Ameziane, M.,
A Pattern Classification Approach To Multilevel Thresholding For Image Segmentation,
CVIP(92), pp. 307-328. BibRef

Maeda, E., Tanaka, H., Shio, A., Ishii, K.,
Robust Object Extraction Using Normalized Principal Component Features,
ICPR(C), pp. 151-155. BibRef

Zhang, Y.J., Gerbrands, J.J.,
Comparison Of Thresholding Techniques Using Synthetic Images And Ultimate Measurement Accuracy,
ICPR(C), pp. 209-213. BibRef

Chang, C.C., Chang, C.H., Hwang, S.Y.,
A Connectionist Approach For Thresholding,
ICPR(C), pp. 522-525. BibRef

Shapiro, V.A., Veleva, P.K., Sgurev, V.S.,
An Adaptive Method For Image Thresholding,
ICPR(C), pp. 696-699. BibRef

(X.Q. Ye), (Z.H. Huang), And (Q. Xiao), Histogram Based Fuzzy C-Mean Algorithm For Image Segmentation,
ICPR C, 704-707.

Huttenlocher, D.P., Wayner, P.C.,
Finding Convex Edge Groupings In An Image,
IJCV(8), 1992, pp. 7-27. BibRef

Khan, G.N., Gillies, D.F.,
Extracting Contours By Perceptual Grouping,
IVC(10), 1992, pp. 77-88. BibRef


Denasi, S., Quaglia, G., Rinaudi, D.,
The Use Of Perceptual Organization In The Prediction Of Geometric Structures,
PRL(13), 1992, pp. 529-539. BibRef

Mohan, R., Nevatia, R.,
Perceptual Organization For Scene Segmentation And Description,
T-PAMI(14), 1992, pp. 616-635. BibRef

Sarkar, S., Boyer, K.L.,
Perceptual Organization Using Bayesian Networks,
CVPR(92), pp. 251-256. BibRef

Saund, E.,
Labeling Of Curvilinear Structure Across Scales By Token Grouping,
CVPR(92), pp. 257-263. BibRef

Dolan, J., Riseman, E.,
Computing Curvilinear Structure By Token-Based Grouping,
CVPR(92), pp. 264-270. BibRef

Guy, G., Medioni, G.,
Perceptual Grouping Using Global Saliency-Enhancing Operators,
ICPR(A), pp. 99-103. BibRef

Sarkar, S., Boyer, K.L.,
Computing Perceptual Organization Using Voting Methods And Graphical Enumeration,
ICPR(A), pp. 263-267. BibRef

Tuceryan, M., Jain, A.K., Ahuja, N.,
Supervised Classification Of Early Perceptual Structure In Dot Patterns,
ICPR(B), pp. 88-91. BibRef

Mangin, F., Berthod, M., Zerubia, J.,
A Cooperative Network For Contour Grouping,
ICPR(C), pp. 315-318. BibRef

Colchester, A.C.F., Robinson, G.P., Griffin, L.D.,
A Unified Approach To Segmentation Of Grey-Level And Dot-Pattern Images,
ICPR(C), pp. 319-322. BibRef

Ilg, M., Ogniewicz, R.,
The Application Of Voronoi Skeletons To Perceptual Grouping In Line Images,
ICPR(C), pp. 382-385. BibRef

Chapter on Rosenfeld Bibliography for 1992 continues in
F.3. Image Analysis .

Last update:Jun 7, 2018 at 10:14:50