Universiti Teknologi Malaysia Institutional Repository

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

Mohd. Adnan, M. R. H. and Mohd. Zain, A. and Haron, H. and Zulfaezal Che Azemin, M. and Bahari, M. (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, Eastin Hotel Makkasan Bangkok, Thailand.


Official URL: https://dx.doi.org/10.1088/1757-899X/551/1/012045


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 (Paper)
Uncontrolled Keywords:edge detection, green computing, object detection
Subjects:H Social Sciences > HF Commerce
Divisions:International Business School
ID Code:89737
Deposited By: Narimah Nawil
Deposited On:22 Feb 2021 13:55
Last Modified:22 Feb 2021 13:55

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