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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | JaeMyeong Yoo Toan Nguyen Dinh GueeSang Lee |
| Copyright Year | 2007 |
| Description | Author affiliation: Chonnam Nat. Univ., Gwanju (JaeMyeong Yoo; Toan Nguyen Dinh; GueeSang Lee) |
| Abstract | Existing methods for color image segmentation using diffusion can't preserve contour information and noises with high gradients become more salient as the number of times of the diffusion increases, resulting in over-segmentation when applied to watershed. This paper proposes a new method for color image segmentation by applying morphological operations together with nonlinear diffusion. Morphological reconstruction works very effectively for the removal of high frequency noises, while nonlinear diffusion can remove low frequency noises. Based on the idea, the input image can be transformed into a simplified image which preserves contour information with noises removed. With gradients computed from this simplified image, watershed algorithm is applied to get the segmentation. Experiments show that color images are segmented very effectively without over- segmentation. |
| Starting Page | 701 |
| Ending Page | 708 |
| File Size | 3067473 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780769529837 |
| DOI | 10.1109/CIT.2007.162 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-10-16 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Image segmentation Image color analysis Diffusion processes Noise robustness Low-frequency noise Information technology Colored noise Image reconstruction Morphological operations |
| Content Type | Text |
| Resource Type | Article |
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