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Image and video segmentation: the normalized cut framework

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4 Author(s)
Shi, J. ; Div. of Comput. Sci., California Inst. of Technol., Pasadena, CA, USA ; Belongie, S. ; Leung, T. ; Malik, J.

We 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

Published in:

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on  (Volume:1 )

Date of Conference:

4-7 Oct 1998