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Get Free AccessWe propose a segmentation system based on the normalized cut framework proposed by Shi and Malik (see Proc. IEEE Conf. Computer Vision and Pattern Recognition, San Juan, Puerto Rico, p.731-7, 1997). The goal is to partition the image from a big picture point of view. Perceptually significant groups are detected first while small variations and details are treated later. Different image features-intensity, color, texture, contour continuity, motion and stereo disparity are treated in one uniform framework.
Junhui Shi, Serge Belongie, Tsz-Wing Leung, Jitendra Malik (2002). Image and video segmentation: the normalized cut framework. , 1, DOI: https://doi.org/10.1109/icip.1998.723676.
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Type
Article
Year
2002
Authors
4
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1109/icip.1998.723676
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