Consideration of Canny Edge Detection for Eye Redness Image Processing: A Review

Joint Conference on Green Engineering Technology & Applied Computing 2019

工业技术（总论）;计算机科学

Mohd Adnan, M.R.H.^1 ; Mohd Zain, Azlan^1 ; Haron, Habibollah^1 ; Zulfaezal Che Azemin, Mohd^2 ; Bahari, Mahadi^3

Applied Industrial Analytics Research Group (ALIAS), School of Computing, Faculty of Engineering, UTM Johor Bahru, Johor, Malaysia^1

Kulliyyah of Allied Health Sciences, International Islamic University Malaysia, IIUM Kuantan, Pahang, Malaysia^2

Azman Hashim International Business School (AHIBS), UTM Johor Bahru, Johor, Malaysia^3

关键词: Canny edge detection;    Canny edge detectors;    Digital image;    Edge detection algorithms;    Region of interest;    Relevant features;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/551/1/012045/pdf
DOI  :  10.1088/1757-899X/551/1/012045

来源: IOP

【 摘 要 】

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.