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Detection of Hard Exudates Using Simulated Annealing Based Thresholding Mechanism in Digital Retinal Fundus Image

机译:基于模拟退火的阈值机制在数字视网膜眼底图像中的阈值机制检测硬渗出物

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Diabetic retinopathy is a disease commonly found in case of diabetes mellitus patients. It causes severe damage to retina and may lead to complete or partial visual loss. In case of diabetic retinopathy retinal blood vessel gets damaged and protein and fat based particles gets leaked out of the damaged blood vessels and are deposited in the intra-retinal space. They are normally seen as whitish marks of various shape and are called as exudates. Exudates are primary indication of diabetic retinopathy. As changes occurs due to the disease is irreversible in nature, the disease must be detected in early stages to prevent visual loss. But detection of exudates in early stages of the disease is extremely difficult only by visual inspection because of small diameter of human eye. But an efficient automated computerized system can have the ability to detect the disease in very early stage. In this paper we have proposed one such method.
机译:糖尿病视网膜病是一种常见于糖尿病患者的疾病。它对视网膜产生严重损害,可能导致完全或部分视觉损失。在糖尿病视网膜内血管的情况下,受损,蛋白质和脂肪的颗粒被损坏的血管泄漏,并沉积在视网膜内空间。它们通常被视为各种形状的发白标记,称为渗出物。渗出物是糖尿病视网膜病变的主要指示。由于由于这种疾病的变化本质上是不可逆转的,因此必须在早期阶段检测到疾病以防止视觉损失。但由于人眼小小,疾病早期阶段的渗出物的检测非常困难。但是高效的自动化计算机化系统可以在早期检测疾病的能力。在本文中,我们提出了一种这样的方法。

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