Spot Filtering Adaptive Thresholding (SFAT) Method for iris pigment spots segmentation approach / Mustafa Man ... [et al.]
Automation on iris pigment spots detection is an open issue that was highlighted by one of the previous researcher in 2016. The purpose is to detect the iris pigment spots in order to make an early prognosis regarding the eye cancer that was cause by the iris nevi. The nevi also known as a pigment s...
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2018
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/34903/1/34903.pdf |
| _version_ | 1825738019784622080 |
|---|---|
| author | Man, Mustafa Ab Jabal, Mohamad Faizal Wan Yussof, Wan Nural Jawahir Hamid, Suhardi Mohd Rahim, Mohd Shafry |
| author_facet | Man, Mustafa Ab Jabal, Mohamad Faizal Wan Yussof, Wan Nural Jawahir Hamid, Suhardi Mohd Rahim, Mohd Shafry |
| author_sort | Man, Mustafa |
| collection | UITM |
| description | Automation on iris pigment spots detection is an open issue that was highlighted by one of the previous researcher in 2016. The purpose is to detect the iris pigment spots in order to make an early prognosis regarding the eye cancer that was cause by the iris nevi. The nevi also known as a pigment spots on the iris surface, which is one of the features on the iris surface. Hence, this paper has proposed Spot Filtering Adaptive Thresholding (SFAT) method in order to solve the highlighted issue. SFAT method has introduced a new thresholding intensity values and enhancement towards the colour detection algorithm. Then, the testing has been conducted on the Miles research digital iris images. The result
achieved from the testing is 37.02% of the accuracy on the segmentation of the iris pigment spots on the iris surface. Moreover, increment 35.08% of accuracy on the iris pigment spots detection process compared with the previous method. The finding from the validation process towards SFAT method is the reliability of the method, which is was concerned on the complexity of the method implementation is low and the processing time of the method is less than 10 seconds in average compared with the previous method. In addition, the contribution from this study is in the medical imaging and image processing field of research. |
| first_indexed | 2024-03-06T02:27:15Z |
| format | Conference or Workshop Item |
| id | oai:ir.uitm.edu.my:34903 |
| institution | Universiti Teknologi MARA |
| language | English |
| last_indexed | 2024-03-06T02:27:15Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | oai:ir.uitm.edu.my:349032021-12-06T07:10:16Z https://ir.uitm.edu.my/id/eprint/34903/ Spot Filtering Adaptive Thresholding (SFAT) Method for iris pigment spots segmentation approach / Mustafa Man ... [et al.] Man, Mustafa Ab Jabal, Mohamad Faizal Wan Yussof, Wan Nural Jawahir Hamid, Suhardi Mohd Rahim, Mohd Shafry Medical care RE Ophthalmology Automation on iris pigment spots detection is an open issue that was highlighted by one of the previous researcher in 2016. The purpose is to detect the iris pigment spots in order to make an early prognosis regarding the eye cancer that was cause by the iris nevi. The nevi also known as a pigment spots on the iris surface, which is one of the features on the iris surface. Hence, this paper has proposed Spot Filtering Adaptive Thresholding (SFAT) method in order to solve the highlighted issue. SFAT method has introduced a new thresholding intensity values and enhancement towards the colour detection algorithm. Then, the testing has been conducted on the Miles research digital iris images. The result achieved from the testing is 37.02% of the accuracy on the segmentation of the iris pigment spots on the iris surface. Moreover, increment 35.08% of accuracy on the iris pigment spots detection process compared with the previous method. The finding from the validation process towards SFAT method is the reliability of the method, which is was concerned on the complexity of the method implementation is low and the processing time of the method is less than 10 seconds in average compared with the previous method. In addition, the contribution from this study is in the medical imaging and image processing field of research. 2018 Conference or Workshop Item PeerReviewed text en https://ir.uitm.edu.my/id/eprint/34903/1/34903.pdf Spot Filtering Adaptive Thresholding (SFAT) Method for iris pigment spots segmentation approach / Mustafa Man ... [et al.]. (2018) In: International Conference on Heritage and Civilisation (ICHAC) 2018, 2-3 May 2018, Rainbow Paradise Beach Resort, Pulau Pinang. http://pice.uitm.edu.my/tesshi/ |
| spellingShingle | Medical care RE Ophthalmology Man, Mustafa Ab Jabal, Mohamad Faizal Wan Yussof, Wan Nural Jawahir Hamid, Suhardi Mohd Rahim, Mohd Shafry Spot Filtering Adaptive Thresholding (SFAT) Method for iris pigment spots segmentation approach / Mustafa Man ... [et al.] |
| title | Spot Filtering Adaptive Thresholding (SFAT) Method for iris pigment spots segmentation approach / Mustafa Man ... [et al.] |
| title_full | Spot Filtering Adaptive Thresholding (SFAT) Method for iris pigment spots segmentation approach / Mustafa Man ... [et al.] |
| title_fullStr | Spot Filtering Adaptive Thresholding (SFAT) Method for iris pigment spots segmentation approach / Mustafa Man ... [et al.] |
| title_full_unstemmed | Spot Filtering Adaptive Thresholding (SFAT) Method for iris pigment spots segmentation approach / Mustafa Man ... [et al.] |
| title_short | Spot Filtering Adaptive Thresholding (SFAT) Method for iris pigment spots segmentation approach / Mustafa Man ... [et al.] |
| title_sort | spot filtering adaptive thresholding sfat method for iris pigment spots segmentation approach mustafa man et al |
| topic | Medical care RE Ophthalmology |
| url | https://ir.uitm.edu.my/id/eprint/34903/1/34903.pdf |
| work_keys_str_mv | AT manmustafa spotfilteringadaptivethresholdingsfatmethodforirispigmentspotssegmentationapproachmustafamanetal AT abjabalmohamadfaizal spotfilteringadaptivethresholdingsfatmethodforirispigmentspotssegmentationapproachmustafamanetal AT wanyussofwannuraljawahir spotfilteringadaptivethresholdingsfatmethodforirispigmentspotssegmentationapproachmustafamanetal AT hamidsuhardi spotfilteringadaptivethresholdingsfatmethodforirispigmentspotssegmentationapproachmustafamanetal AT mohdrahimmohdshafry spotfilteringadaptivethresholdingsfatmethodforirispigmentspotssegmentationapproachmustafamanetal |