Retinal Disease Screening through Local Binary Patterns |
Author(s): |
| Kiran S M , dayanandasagar college of engineering; Charith D U, dayanandasagar college of engineering; Srinivas A, dayanandasagar college of engineering; Govind N Pachapure, dayanandasagar college of engineering |
Keywords: |
| Local Binary Patterns, Diabetic Retinopathy, Diagnosis Aid System, Fundus Image, Retinal Image |
Abstract |
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This project investigates discrimination capabilities in the texture of fundus images to differentiate between pathological and healthy images. For this purpose, the performance of Local Binary Patterns (LBP) as a texture descriptor for retinal images has been explored and compared with other descriptors such as LBP filtering (LBPF) and local phase quantization (LPQ). The goal is to distinguish between diabetic retinopathy (DR) and normal fundus images analyzing the texture of the retina background and avoiding a previous lesion segmentation stage. This paper is a robust algorithm for describing retina texture and can be useful in a diagnostic aid system for retinal disease screening. |
Other Details |
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Paper ID: IJSRDV6I30746 Published in: Volume : 6, Issue : 3 Publication Date: 01/06/2018 Page(s): 1641-1644 |
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