Cup-disk segmentation and fractal dimensionto detect glaucomatous eyes

Author

Lamani, Dharmanna ; Manjunath, T.C. ; Ramegowda

fYear

2013

fDate

27-28 Sept. 2013

Firstpage

1

Lastpage

5

Abstract

The present paper explores a state of art for detection of glaucoma in human eye through cup-disk segmentation & fractal dimension using image analysis. Author extracted fractal dimension feature from glaucomatous eyes for the portion of segmented cup-disk through semi variance algorithm. In the first step authors adopted Chan-Vese algorithm to extract region of interest (ROI) for which fractal dimension is determined. The strong findings of the present paper are (1) Semi variance method found to be more efficient. (2) Fractal dimension feature could be used as a diagnostics parameter for earlier detection of glaucoma. (3) The visualization of segmentation reveals that decrease in area of signifies attacking glaucoma neuroretinal rim by glaucoma. (4) Fractal Dimension (FD) found to be in the range of 1.50-159 for the glaucoma affected eye.

Keywords

image enhancement; image segmentation; medical image processing; cup disk segmentation; fractal dimension; glaucoma detection; glaucomatous eyes; human eye; image analysis; image segmentation; region of interest; Fractal dimension (FD); Glaucoma; cup disk segmentation and Neuroretinal rim;

fLanguage

English

Publisher

iet

Conference_Titel

Research & Technology in the Coming Decades (CRT 2013), National Conference on Challenges in

Conference_Location

Ujire

Electronic_ISBN

978-1-84919-868-4

Type

conf

DOI

10.1049/cp.2013.2477

Filename

6851524