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Trace Inference, Curvature Consistency, and Curve Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Dynamic Programming for Detecting, Tracking, and Matching Deformable Contours
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Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inferring global perceptual contours from local features
International Journal of Computer Vision - Special issue on computer vision research at the University of Southern California
Faster shortest-path algorithms for planar graphs
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the optimal detection of curves in noisy pictures
Communications of the ACM
Contour Continuity in Region Based Image Segmentation
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Segmentation of Salient Closed Contours from Real Images
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Globally Optimal Regions and Boundaries
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
"Ratio Regions": A Technique for Image Segmentation
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformable Contour Method: A Constrained Optimization Approach
International Journal of Computer Vision
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
Salient Closed Boundary Extraction with Ratio Contour
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boosting Color Saliency in Image Feature Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Graph Partitioning Active Contours (GPAC) for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
On the Distribution of Saliency
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge affinity for pose-contour matching
Computer Vision and Image Understanding
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International Journal of Computer Vision
Semiautomatic segmentation with compact shape prior
Image and Vision Computing
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ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
Automated Pressure Ulcer Lesion Diagnosis: An Initial Study
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EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Efficient implementation for spherical flux computation and its application to vascular segmentation
IEEE Transactions on Image Processing
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Fundamenta Informaticae
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ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
ACM Transactions on Algorithms (TALG)
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Computer Vision and Image Understanding
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ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
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Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
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International Journal of Computer Vision
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ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
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International Journal of Computer Vision
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Pattern Recognition Letters
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Pattern Recognition Letters
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International Journal of Computer Vision
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We describe a new form of energy functional for the modeling and identification of regions in images. The energy is defined on the space of boundaries in the image domain and can incorporate very general combinations of modeling information both from the boundary (intensity gradients, etc.) and from the interior of the region (texture, homogeneity, etc.). We describe two polynomial-time digraph algorithms for finding the global minima of this energy. One of the algorithms is completely general, minimizing the functional for any choice of modeling information. It runs in a few seconds on a 256×256 image. The other algorithm applies to a subclass of functionals, but has the advantage of being extremely parallelizable. Neither algorithm requires initialization