Consideration of canny edge detection for eye redness image processing: a review
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...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2019
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| Subjects: | |
| 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 |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English English |
| Summary: | 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. |
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