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In this paper we developed a computerized application based on an Effort Staging System (ESS) through which the specific dumping capacity is calculated and the risk of glaucoma defined as the damage effort of Retinal Nerve Fiber Layer (RNFL) — is automatic quantified. We used Reichert Ocular Response Analyzer to measure the important parameters in a glaucoma suspect patient: Compensated Intraocular...
The goal of this study is to present a system which use correlation between medical pathology and different sectors from the surface of the iris. A computerized iris texture and color analysis reveals texture regions which offer useful information. Locations of those regions upon a segmented iridology charts point out an interrelation between map sectors and the projection of the internal body system...
Glaucoma is one of the most important causes of blindness in the world. To diagnose it is necessary to measure the intraocular pressure, which is the most important risk factor in glaucoma. Biomechanical corneal properties are another important factor in assessment of glaucoma. We used Reichert Ocular Response Analyzer to measure these two important parameters in a glaucoma suspect patient: Compensated...
Over recent years, applications of wavelet analysis are widespread and cover many fields of scientific research including biomedical science. We propose an iris classification method based on wavelet techniques. The fundamental theory for iris identification rests on the premise that every iris is individually characteristic enough to distinguish it from others through image analysis. In our study...
The paper presents a design of an software application called Iris Detector v1.0.0. This application is developed using Matlareg b v7.0.0 and it offers interactive iris detection, due to its friendly interface which allows the user to interact with the software along the process. The interface is designed in such way that the user who is not familiar with Matlab can easily perform the detection.
We develop an algorithm that automatically finds and extracts the iris information in an image containing a human eye. The purpose of this paper is to identify the colored information contained in the iris circular zone and to remove the insignificant information about pupil and external zone of the iris. We focus on image analysis and image enhancement by image filtering, edge detection and morphological...
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