Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Topographic distance and watershed lines
Signal Processing - Special issue on mathematical morphology and its applications to signal processing
Geodesic Saliency of Watershed Contours and Hierarchical Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Genetic approaches for topological active nets optimization
Pattern Recognition
Combining region and edge information to extract fish oocytes in histological images
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
CompIMAGE'10 Proceedings of the Second international conference on Computational Modeling of Objects Represented in Images
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Watersheds and snakes are used extensively in image processing, particularly in locating object boundaries. Both of them have their own advantages and limitations. Watersheds can provide accurate and closed contours with single pixel width. The main problem with watersheds is over-segmentation. Snakes, or active contour, can locate desired object boundaries automatically and dynamically from an initial contour, but the narrow capture range of initial contour has limited their utility. This paper presents a hybrid boundary detection algorithm to incorporate the advantages of both watersheds and snakes. An initial contour is firstly transformed into the maximum watershed contour it contains. The later are then input to the snake model and begins its evolvement to the interested object boundary. In our experiments, we compared this hybrid algorithm with traditional snake and gradient vector flow (GVF) snake. The results show that the hybrid scheme has larger capture range, faster calculation and robustness to noise.