Image and video segmentation: The normalized cut framework
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
In this paper, we propose a segmentation system based on the normalized cut framework proposed by Shi and Malik (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.
Original language | English |
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Title of host publication | 1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 1 |
Number of pages | 5 |
Publisher | IEEE COMPUTER SOC |
Publication date | 1998 |
Pages | 943-947 |
ISBN (Print) | 0-8186-8821-1 |
Publication status | Published - 1998 |
Externally published | Yes |
Event | IEEE International Conference on Image Processing - CHICAGO, Israel Duration: 4 Oct 1998 → 7 Oct 1998 |
Conference
Conference | IEEE International Conference on Image Processing |
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Land | Israel |
By | CHICAGO |
Periode | 04/10/1998 → 07/10/1998 |
ID: 302162485