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

• Main Authors: Mohd Adnan, M. R.H., Mohamed Zain, Azlan, Haron, Habibollah, Che Azemin, Mohd Zulfaezal, Bahari, Mahadi
• Format: Conference or Workshop Item
• Language: English; English
• Published: 2019
• Subjects: R Medicine (General)
• Online Access: http://irep.iium.edu.my/79708/1/79708_Consideration%20of%20Canny%20Edge%20Detection%20_conf.%20artile.pdf; http://irep.iium.edu.my/79708/2/79708_Consideration%20of%20Canny%20Edge%20Detection%20_scopus.pdf; http://irep.iium.edu.my/79708/; https://iopscience.iop.org/article/10.1088/1757-899X/551/1/012045/pdf
• Institution: Universiti Islam Antarabangsa Malaysia

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.