Quantitative parametrization of colonoscopic images by applying fuzzy technique

Author

Krishnan, Shankar M. ; Goh, Peter M Y

Author_Institution

Biomed. Eng. Res. Centre, Nanyang Technol. Inst., Singapore

Volume

3

fYear

1997

fDate

30 Oct-2 Nov 1997

Firstpage

1121

Abstract

A new approach for the characterization of the colon based on a set of quantitative parameters, extracted by fuzzy processing of colon images, to assist the colonoscopist for medical diagnosis is proposed in this paper. These parameters defining the properties of the lumen are useful in the analysis of colon abnormalities and for the assessment of the status of patients. These properties are used as input in a characterization rulebase to formulate a decision as to find out whether the colon lumen of interest belongs to an abnormal or a normal category. Preliminary test results support the feasibility of the proposed approach

Keywords

biological organs; edge detection; fuzzy set theory; medical image processing; optical images; colon abnormalities analysis; colon images; colon lumen abnormality; colonoscopic images; fuzzy edge detection; fuzzy processing; fuzzy technique; high resolution CCD camera; image interpretation; medical diagnostic imaging; patient status assessment; quantitative parameters set; quantitative parametrization; Biomedical engineering; Cameras; Colon; Fuzzy reasoning; Fuzzy sets; Image edge detection; Image processing; Intestines; Malignant tumors; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-4262-3

Type

conf

DOI

10.1109/IEMBS.1997.756549

Filename

756549