Consideration of canny edge detection for eye redness image processing: a review

Mohd Adnan, M. R.H. and Mohamed Zain, Azlan and Haron, Habibollah and Che Azemin, Mohd Zulfaezal and Bahari, Mahadi (2019) Consideration of canny edge detection for eye redness image processing: a review. In: "International Conference on Green Engineering Technology and Applied Computing 2019, IConGETech2 019 and International Conference on Applied Computing 2019, ICAC 2019", 4 - 5 Feb 2019, Makkasan, Bangkok.

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Abstract

Eye redness can be taken as a sign of inflammation which may suggest severity and progression of a specific disease. In image processing, there is apportioning a digital image into relevant features in sets of pixels where is called image segmentation. The image that consists of numerous parts of different colors and textures need to be distinguished in this process. In each digital image, the transformation of images into edges was using edge detection techniques. It represents the contour of the image which could be helpful to recognize the image as an object with its detected edges. The Canny edge detector is a standard edge detection algorithm for many years among the present edge detection algorithms. This paper focuses on important canny edge detection for detecting a region of interest (ROI) in eye redness images.

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	6768/79708
Uncontrolled Keywords:	Consideration of canny edge detection; Eye redness; Image processing
Subjects:	R Medicine > R Medicine (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Allied Health Sciences Kulliyyah of Allied Health Sciences > Department of Optometry and Visual Science
Depositing User:	Dr. Mohd Zulfaezal Che Azemin
Date Deposited:	17 Jun 2020 13:48
Last Modified:	08 Jul 2022 15:05
URI:	http://irep.iium.edu.my/id/eprint/79708

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