TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 11, No 4: December 2013

Separability Filter for Localizing Abnormal Pupil: Identification of Input Image

Retno Supriyanti (Jenderal Soedirman University)
Elvin Pranata (Jenderal Soedirman University)
Yogi Ramadhani (Jenderal Soedirman University)
Tutik Ida Rosanti (Jenderal Soedirman University)



Article Info

Publish Date
01 Dec 2013

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%.

Copyrights © 2013






Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...