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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| Format: | Proceeding Paper |
| Language: | en en |
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2019
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| 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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| author | Mohd Adnan, M. R.H. Mohamed Zain, Azlan Haron, Habibollah Che Azemin, Mohd Zulfaezal Bahari, Mahadi |
| author_facet | Mohd Adnan, M. R.H. Mohamed Zain, Azlan Haron, Habibollah Che Azemin, Mohd Zulfaezal Bahari, Mahadi |
| author_sort | Mohd Adnan, M. R.H. |
| building | IIUM Library |
| collection | Institutional Repository |
| content_provider | International Islamic University Malaysia |
| content_source | IIUM Repository (IREP) |
| continent | Asia |
| country | Malaysia |
| description | 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. |
| format | Proceeding Paper |
| id | my.iium.irep-79708 |
| institution | Universiti Islam Antarabangsa Malaysia |
| language | en en |
| publishDate | 2019 |
| record_format | dspace |
| spelling | my.iium.irep-797082022-07-08T07:05:05Z http://irep.iium.edu.my/79708/ Consideration of canny edge detection for eye redness image processing: a review Mohd Adnan, M. R.H. Mohamed Zain, Azlan Haron, Habibollah Che Azemin, Mohd Zulfaezal Bahari, Mahadi R Medicine (General) 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. 2019-08-14 Proceeding Paper NonPeerReviewed application/pdf en http://irep.iium.edu.my/79708/1/79708_Consideration%20of%20Canny%20Edge%20Detection%20_conf.%20artile.pdf application/pdf en http://irep.iium.edu.my/79708/2/79708_Consideration%20of%20Canny%20Edge%20Detection%20_scopus.pdf 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. https://iopscience.iop.org/article/10.1088/1757-899X/551/1/012045/pdf |
| spellingShingle | R Medicine (General) Mohd Adnan, M. R.H. Mohamed Zain, Azlan Haron, Habibollah Che Azemin, Mohd Zulfaezal Bahari, Mahadi Consideration of canny edge detection for eye redness image processing: a review |
| title | Consideration of canny edge detection for eye redness image processing: a review |
| title_full | Consideration of canny edge detection for eye redness image processing: a review |
| title_fullStr | Consideration of canny edge detection for eye redness image processing: a review |
| title_full_unstemmed | Consideration of canny edge detection for eye redness image processing: a review |
| title_short | Consideration of canny edge detection for eye redness image processing: a review |
| title_sort | consideration of canny edge detection for eye redness image processing: a review |
| topic | R Medicine (General) |
| url | 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 |
| url_provider | http://irep.iium.edu.my/ |