Abstract
Watershed is one of the commonly used methods for image segmentation. In this paper, we introduce a new segmentation scheme based on bi-directional labeling and registration and prove that its segmentation performance is equivlent to that of conventional watershd but it is much more computational efficent. The bi-directional labeling and registration scheme, which will be referred to as BIDS, involves only linear scans of image pixels. It uses one dimensional operations instead of queues while traditional segmentation algorithms are two dimensional problems. BIDS also provides unique labels for each homogeneous regions. In addition to achieving the same segmentation results as conventional watershed, BIDS is four times less computationally complex than the conventional watersheds by immersion.
Original language | English (US) |
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Title of host publication | IEEE International Conference on Image Processing |
Pages | 365-368 |
Number of pages | 4 |
Volume | 1 |
State | Published - 2003 |
Event | Proceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain Duration: Sep 14 2003 → Sep 17 2003 |
Other
Other | Proceedings: 2003 International Conference on Image Processing, ICIP-2003 |
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Country/Territory | Spain |
City | Barcelona |
Period | 9/14/03 → 9/17/03 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering