Digital Image Processing-based Methodology for a Pupillometer

Francisco M. García-Herrera, J. Mendiola-Santibañez, Danjela Ibrahimi
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Abstract

The world is full of geometric figures, how to measure them can change the understanding of every element and phenomenon, including the eyes. Ophthalmology, like many branches of medicine, face various problems focused on research that goes beyond the understanding of diseases of the eye. The pupil can reflect various defects and abnormalities related to the nervous system, so make a correct study of it can be the difference between surgery or a treatment, however, its study is known to be carried out using different tools and under different conditions that can lead to discrepancies between the measures that are considered normal or not. These situations are given for involving the perception and judgment of specialists in their analysis or the refusal of them to use pupilometers (possibly due to the methods of some of these devices to determine the measurements). This paper analyzes the use of morphological operators, especially the ultimate opening, as well as the concept of Feret diameter in the proposal of the design of a pupillometer based on digital processing images to detect and analyze related conditions detectable through malformations in the pupils, such as anisocoria, astigmatism, among others.
基于数字图像处理的瞳孔计方法
世界上到处都是几何图形,如何测量它们可以改变对每一个元素和现象的理解,包括眼睛。像许多医学分支一样,眼科面临着各种各样的问题,这些问题集中在对眼睛疾病的研究之外。瞳孔可以反映与神经系统相关的各种缺陷和异常,因此对其进行正确的研究可能是手术或治疗的区别,然而,众所周知,它的研究是使用不同的工具和在不同的条件下进行的,这可能导致被认为是正常或不正常的措施之间的差异。这些情况涉及到专家在他们的分析中的感知和判断,或者他们拒绝使用瞳孔计(可能是由于其中一些设备确定测量的方法)。本文在设计一种基于数字处理图像的瞳孔计时,分析了形态学算子的使用,特别是最终开口,以及Feret直径的概念,以检测和分析通过瞳孔畸形检测到的相关情况,如散光、散光等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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