A Modified Fuzzy Contrast Enhancement Technique for Retinal Images

Author

Paranjape, Sandeep V. ; Ghosh, Sambuddha ; Ray, A.K. ; Chatterjee, Jyotirmoy ; Lande, Anil R.

Author_Institution

Sch. of Med. Sci. & Technol., IIT Kharagpur, Kharagpur, India

fYear

2015

fDate

26-27 Feb. 2015

Firstpage

892

Lastpage

896

Abstract

The retinal image contrast enhancement is most important when it comes to visual analysis for respective disease diagnosis and as an important prerequisite for further image analysis. The evaluation of images for contrast enhancement depends mostly on image quality and application at hand. Fuzzy inference system used to get more precise information although the irregularity and vagueness in an image. A rule-based Fuzzy Inference System (FIS) is proposed for contrast enhancement of retinal images in addition with the partial histogram. Gaussian membership function and Region of Interest are found to aid in obtaining prominent results. We have obtained promising results by applying proposed method with effective contrast enhancement on DRIVE database images, also on images provided by the Ophthalmologist.

Keywords

Gaussian processes; fuzzy reasoning; fuzzy set theory; image enhancement; visual databases; DRIVE database images; FIS; Gaussian membership function; disease diagnosis; image quality; modified fuzzy contrast enhancement technique; ophthalmologist; partial histogram; region of interest; retinal images; rule-based fuzzy inference system; visual analysis; Bismuth; Electronic mail; Fuzzy logic; Fuzzy sets; Histograms; Image enhancement; Retina; Contrast enhancement; Fuzzy method; Histogram processing; Human retinal images;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on

Conference_Location

Pune

Type

conf

DOI

10.1109/ICCUBEA.2015.177

Filename

7155975