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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hongzhe Yang Jian Yang Yongtian Wang Yue Liu |
| Copyright Year | 2011 |
| Abstract | This paper presents a novel image segmentation method in which energy function is based on global region information while not only on edge information. Image segmentation can be viewed as a routing problem. In order to obtain the optimal segmentation, the Shortest Path Faster Algorithm (SPFA) is used to optimize the discrete grid energy function. As the commonly used Live-Wire algorithm is easy to obtain mistake segmentation when the strong edges and the weak edges are close to each other, the interactive segmentation method is proposed for the precise boundaries estimation. The developed method has been tested on both clinical medical images and natural scene images. It can be seen that the developed method is very fast and effective, and can obtain good segmentation results. |
| Starting Page | 424 |
| Ending Page | 428 |
| File Size | 762360 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457715600 |
| DOI | 10.1109/ICIG.2011.159 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation routing Image edge detection Heuristic algorithms image segmentation Liver Routing Minimization Biomedical imaging shortest path fast algorithm |
| Content Type | Text |
| Resource Type | Article |
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