AUTOMATIC SEGMENTATION AND PARAMETERIZATION IRIDOLOGY IMAGES
This paper presents a novel methodology for human iris segmentation automatically and manual using image processing techniques. This segmentation was performed on gray level images, using for processing each image math tools like: comprehensive projective, OTSU, negative contrast enhancement, binarization, smoothing and filtering. Using these techniques, various parameters are obtained for example, the detection of the pupil and iris. With these parameters the iridology segmentation of each image is performed using analytic geometry. This segmentation allows parameterized parts of iris, showing the inner workings of different physiological systems, thus obtaining characteristic patterns of such systems. In the future, will achieve disease detection processes based on image processing iridology.
Print version ISSN 1909-9762
Rev. ing. biomed. vol.10 no.19 Medellín Jan./June 2016