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Methodology of iris image analysis for clinical diagnosis

机译:用于临床诊断的虹膜图像分析方法

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摘要

Healthcare has been a matter of concern for centuries as far as diagnostic techniques for human development are concern. These techniques have been evolving through the ages and human beings have become selective towards cheaper and convenient ones (convenient according to that period of scientific development). But in this selection process we suppress the rare scientific techniques which are no more popular but still exist in our society. This paper is a attempt to collaborate our ancestral knowledge with modern science to make diagnostic techniques more efficient, rapid and user friendly. The main idea is to combine IRIDOLOGY and Image processing with its scientific reasons to open up a new research field and healthcare diagnostic technique. Implementing this method practically requires special image processing where iris feature extraction plays a crucial role. In this paper we study Iridology, a branch of medical science and develop a methodology to implement synergy on image processing with it. This paper will explain the work of image processing of the iris image, the effects of various parameters of algorithm, different image acquisition system specifications, various environments and different sizes of images.
机译:几个世纪以来,就人类发展的诊断技术而言,医疗保健一直是人们关注的问题。这些技术已经发展了很长时间,人类已经选择了廉价和方便的技术(根据那个科学发展时期的方便)。但是在这个选择过程中,我们压制了稀有的科学技术,这些科学技术不再流行,但仍然存在于我们的社会中。本文试图将我们的祖先知识与现代科学结合起来,以使诊断技术更加高效,快速和用户友好。主要思想是将IRIDOLOGY和图像处理及其科学原因相结合,以开辟新的研究领域和医疗诊断技术。实际上,实施此方法需要特殊的图像处理,其中虹膜特征提取起着至关重要的作用。在本文中,我们研究医学科学的一个分支Iridology,并开发一种在图像处理上实现协同作用的方法。本文将解释虹膜图像的图像处理工作,各种算法参数的影响,不同的图像采集系统规格,不同的环境和不同的图像大小。

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