Development of Iridology System Database for Colon Disorders Identification using Image Processing

Passarella, Rossi and Erwin, Erwin and Fachrurrozi, M. and Sutarno, Sutarno (2013) Development of Iridology System Database for Colon Disorders Identification using Image Processing. Indian Journal of Bioinformatics and Biotechnology, 2 (6). pp. 100-103. ISSN 2319-6580

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Abstract

Iridology is an art of knowledge to detect a specific disease of human body from the iris. The detection will tell each individual organ when it has low or high performance (abnormal). The iris reveals conditions change of every part of the body. Every organ and part of the body are represented in the iris in a well-defined area. The objective of research is to develop an iris database of colon disorder based on the map of iridology. This map is represented as a diagnosis tool to detect the common colon disorder. In developing the database, Sixty (60) subjects were enrolled in the study where 35 subjects had histologically proven problem in colon disorder, and 25 were control subject. To extract the iris, the image processing methods such Hough transform, segmentation and normalization were applied in this research. The conclusion of this paper is the proposed an iris database for helping medical doctor in detecting colon disorder using image processing.

Item Type: Article
Subjects: R Medicine > R Medicine (General)
T Technology > T Technology (General)
Divisions: 09-Faculty of Computer Science > 56401-Computer Engineering (D3)
Depositing User: Rossi Passarella
Date Deposited: 27 Sep 2019 03:55
Last Modified: 27 Sep 2019 03:55
URI: http://repository.unsri.ac.id/id/eprint/8414

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