Separability Filter for Localizing Abnormal Pupil: Identification of Input Image
Abstract: Separability filter
method is a reliable method for pupil detection. However, so far this method is
implemented for detecting pupil of normal eye, while for abnormal eye such as
cataract and glaucoma patients; they have different characteristics of pupil
such as color, shape and radius size of pupil. In this paper we propose to use
separability filter for detecting pupil of abnormal patients with different
characteristics. We faced a problem about radius size, shape and color of
pupil; therefore we implemented Hough Transform, Blob area and Brightness for
identifying input images before applying separability filter. The experiment
results show that we can increase performance of pupil detection for abnormal
eye to be 95.65%.
Author: Retno Supriyanti,
Elvin Pranata, Yogi Ramadhani, Tutik Ida Rosanti
Journal Code: jptkomputergg130110
