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Intra-ocular lens defect detection using generalized hough transform

机译:使用广义霍夫变换的人工晶状体缺陷检测

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Intra-ocular lenses are used to replace the natural lenses in eyes when it grows cloudy, a condition known as cataract which is typically observed among elderly people. Lens that is to be placed inside one's eye necessitates the use of precision tools and high quality materials to prevent any damage to one's eyesight. This in turn, requires the development of technologies which aid in production of lenses of superior quality and quality inspection. Currently, most companies perform manual inspection of lenses which is a laborious process and prone to human errors. This paper would postulate an algorithm for the implementation in an automated intra-ocular lens defect detection and quality assessment system. This would reduce time and cost of labor significantly leading to better segregation of lenses and increase in output quality.
机译:眼内晶状体变白时,可用来代替眼睛中的天然晶状体,这种现象被称为白内障,通常在老年人中观察到。要放在人眼内部的镜头,必须使用精密工具和高质量的材料,以防止对视力造成任何损害。反过来,这需要开发有助于生产出高质量和质量检验的镜片的技术。当前,大多数公司对镜片进行人工检查,这是一个费力的过程,并且容易出现人为错误。本文将提出一种在人工眼内缺陷检测和质量评估系统中实现的算法。这将大大减少时间和劳动力成本,从而更好地隔离镜片并提高输出质量。

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