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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xian Jiang Shengdong-Nie |
| Copyright Year | 2007 |
| Description | Author affiliation: Coll. of Med. Instrum. & Foodstuff, Univ. of Shanghai for Sci. & Technol., Shanghai (Xian Jiang; Shengdong-Nie) |
| Abstract | Because the segmentation of the target with the Level Set is based on the gradient difference of the image while the gradient difference of the blood cells in the image of the urine sediment is not obvious compared with its background. Therefore segmenting it with the Level Set is not satisfactory. The Level Set based on Mumford-Shah model in this paper depends on the comprehensive information of the image, not on the gradient of image. The model is helpful in processing the complicated and the topological structure changing object. This is very important for the segmentation of the complicated topological medical images with less obvious gradient difference. This paper intends to apply the model in the segmentation of the blood cells in the image of the urine sediment. The algorithm of this paper can eliminate the over-segment produced by the Level Set, and obtain an accurate result with fast speed. The experiment shows that this is very effective. |
| Starting Page | 1028 |
| Ending Page | 1030 |
| File Size | 247652 |
| Page Count | 3 |
| File Format | |
| ISBN | 1424411203 |
| DOI | 10.1109/ICBBE.2007.266 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-07-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Image analysis Level set Instruments Cells (biology) Educational institutions Sediments Blood Testing Biomedical imaging |
| Content Type | Text |
| Resource Type | Article |
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