Impact of Retinal Vessel Image Coherence on Retinal Blood Vessel Segmentation
نویسندگان
چکیده
Retinal vessel segmentation is critical in detecting retinal blood vessels for a variety of eye disorders, and consistent computerized method required automatic disorder screening. Many methods are implemented, but these only yielded accuracy lack good sensitivity due to the coherence segmentation. Another main factor low proper technique handle low-varying contrast problem. In this study, we proposed five-step assessing impact on The involved four steps known as preprocessing module. These stages pre-processing module image process first stage, uneven illumination noise issues using morphological operations second conversion grayscale principal component analysis (PCA) third step. fourth step contributing anisotropic diffusion filtering testing their different schemes get better coherent optimized filtering. last included double thresholds with reconstruction techniques produce segmented vessel. performances validated publicly available database named DRIVE STARE. Sensitivity values 0.811 0.821 STARE respectively meet surpass other existing methods, comparable 0.961 0.954 databases methods. This new segmentations can help medical experts diagnose disease recommend treatment timely manner.
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ژورنال
عنوان ژورنال: Electronics
سال: 2023
ISSN: ['2079-9292']
DOI: https://doi.org/10.3390/electronics12020396