Ocular Fundus Image Segmentation using Cuckoo Search Algorithm
نویسندگان
چکیده
Retinal Fundus image segmentation is challenging due to the presence of faintly interrelated optic nerve disk, fovea, and blood vessels. Among them most relevant and region of interest is blood vessels for ophthalmologists for proper disease diagnostic purpose. In this paper, we proposed a computationally effective image segmentation algorithm for fundus image segmentation known as Cuckoo Search algorithm The proposed algorithm evaluated to be most promising, and computationally effective for segmenting fundus images. Convergence rate evaluations also reveals that the proposed algorithm outdoes others in achieving stable universal optimum thresholds. The trial outcomes help ophthalmologists for proper diagnostic on retinal diseases like Glaucomatous and diabetic retinopathy and inspire interrelated researches for more accuracy and efficiency in image segmentation of fundus images.
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