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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wankhede, P.R. Khanchandani, K.B. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of E &TC Eng., SSGM Coll. of Eng., Shegaon, India (Wankhede, P.R.) || Dept. of E& TC Eng., SSGM Coll. of Eng., Shegaon, India (Khanchandani, K.B.) |
| Abstract | The automated segmentation of blood vessels helps the ophthalmologist for early detection and possible treatment of retinal diseases. This paper presents a novel method for automatic segmentation of blood vessels using graph cut method. Initially, we applied mean filter, convolution by Gaussian kernel, shade correction and top-hat transformation as preprocessing steps for enhancement of blood vessels. It significantly enhance retinal image while suppress the noise and non-vessel structures keeping vessel information. Then vascular structure is extracted using graph cut segmentation. The proposed approach is tested on publicly available DRIVE dataset. Performance analysis is carried out and compared with other methods. The values achieved with our novel method for area under curve, accuracy, sensitivity and specificity are 0.9605, 0.9626, 0.7261 and 0.9806 respectively. This performance parameter comparison shows the effectiveness of our method for improving the segmentation results and hence detects blood vessels accurately. |
| Starting Page | 1429 |
| Ending Page | 1432 |
| File Size | 646507 |
| Page Count | 4 |
| File Format | |
| e-ISBN | 9781479971657 |
| DOI | 10.1109/IIC.2015.7150973 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-05-28 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Databases Vessel enhancement Image edge detection Top-hat transformation Blood vessel segmentation Retina Graph cut analysis Biomedical imaging |
| Content Type | Text |
| Resource Type | Article |
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