A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Embedding Gestalt Laws in Markov Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision - Special issue on computer vision research at NEC Research Institute
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Globally Optimal Regions and Boundaries as Minimum Ratio Weight Cycles
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Unsupervised Learning of Finite Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Saliency, Scale and Image Description
International Journal of Computer Vision
Contour and Texture Analysis for Image Segmentation
International Journal of Computer Vision
Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation
International Journal of Computer Vision
A Probabilistic Multi-scale Model for Contour Completion Based on Image Statistics
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Segmentation of Multiple Salient Closed Contours from Real Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Salient Closed Boundary Extraction with Ratio Contour
IEEE Transactions on Pattern Analysis and Machine Intelligence
Designing Spatially Coherent Minimizing Flows for Variational Problems Based on Active Contours
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Image-Segmentation Evaluation From the Perspective of Salient Object Extraction
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Multi-Scale Contour Extraction Based on Natural Image Statistics
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Salient Contour Detection using a Global Contour Discontinuity Measurement
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
Patch-Based texture edges and segmentation
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Contour grouping with prior models
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
Deriving implicit indoor scene structure with path analysis
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
LS-SVM based image segmentation using color and texture information
Journal of Visual Communication and Image Representation
A Swarm Intelligence inspired algorithm for contour detection in images
Applied Soft Computing
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One approach to image segmentation defines a function of image partitions whose maxima correspond to perceptually salient segments. We extend previous approaches following this framework by requiring that our image model sharply decreases in its power to organize the image as a segment's boundary is perturbed from its true position. Instead of making segment boundaries prefer image edges, we add a term to the objective function that seeks a sharp change in fitness with respect to the entire contour's position, generalizing from edge detection's search for sharp changes in local image brightness. We also introduce a prior on the shape of a salient contour that expresses the observed multi-scale distribution of contour curvature for physical contours. We show that our new term correlates strongly with salient structure. We apply our method to real images and verify that the new term improves performance. Comparisons with other state-of-the-art approaches validate our method's advantages.