Vessel segmentation of retinal image based on pixel specificity and self-adaptive classification strategy
A new vessel segmentation method called specificity and self-adaptive vessel detection(SSVD)was proposed based on pixel specificity and self-adaptive classification strategy,in the beginning pixel specificity was defined,by setting a higher pixel specificity threshold,the main vessel skeleton was ex...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2015-08-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015229/ |
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| Summary: | A new vessel segmentation method called specificity and self-adaptive vessel detection(SSVD)was proposed based on pixel specificity and self-adaptive classification strategy,in the beginning pixel specificity was defined,by setting a higher pixel specificity threshold,the main vessel skeleton was extracted; then self-adaptive classification process was implemented,and each of the remaining undetermined pixels acted as an Agent,within a multi-scale threshold range,Agent revised its own status according to the status of its neighbor,so as to complete the classification of the pixels; finally the noise was removed by multi-window noise filtering method.By testing SSVD on DRIVE database,the experiment shows that it is more accurate and efficient than state-of-the-art methods. |
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| ISSN: | 1000-436X |