Image Enhancement Method based on an Improved Fuzzy C-Means Clustering
Image enhancement is an important method in the process of image processing. This paper proposes an image enhancement method base on an improved fuzzy c-means clustering. The method consists of the following steps: firstly, proposed a fuzzy c-means clustering with a cooperation center (FCM-co). Seco...
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The Science and Information (SAI) Organization Limited
2022
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Online Access: | https://eprints.ums.edu.my/id/eprint/34635/1/Abstract.pdf https://eprints.ums.edu.my/id/eprint/34635/2/Full%20text.pdf https://eprints.ums.edu.my/id/eprint/34635/ https://thesai.org/Publications/ViewPaper?Volume=13&Issue=8&Code=IJACSA&SerialNo=99 https://dx.doi.org/10.14569/IJACSA.2022.0130899 |
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my.ums.eprints.346352022-10-31T01:17:27Z https://eprints.ums.edu.my/id/eprint/34635/ Image Enhancement Method based on an Improved Fuzzy C-Means Clustering Libao Yang Suzelawati Zenian Rozaimi Zakaria QA71-90 Instruments and machines TA1-2040 Engineering (General). Civil engineering (General) Image enhancement is an important method in the process of image processing. This paper proposes an image enhancement method base on an improved fuzzy c-means clustering. The method consists of the following steps: firstly, proposed a fuzzy c-means clustering with a cooperation center (FCM-co). Secondly, using the FCM-co, divide the image pixels into different clusters and marked membership values to those clusters. Thirdly, modify the membership values. Finally, calculate the new pixel gray levels. This enhancement method can overcome the disadvantage of overexposure and better retain image details. Through the experiment, the test results show that the proposed enhancement method could achieve better performance. The Science and Information (SAI) Organization Limited 2022 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/34635/1/Abstract.pdf text en https://eprints.ums.edu.my/id/eprint/34635/2/Full%20text.pdf Libao Yang and Suzelawati Zenian and Rozaimi Zakaria (2022) Image Enhancement Method based on an Improved Fuzzy C-Means Clustering. International Journal of Advanced Computer Science and Applications (IJACSA), 13 (8). pp. 855-859. ISSN 2156-5570 https://thesai.org/Publications/ViewPaper?Volume=13&Issue=8&Code=IJACSA&SerialNo=99 https://dx.doi.org/10.14569/IJACSA.2022.0130899 |
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QA71-90 Instruments and machines TA1-2040 Engineering (General). Civil engineering (General) Libao Yang Suzelawati Zenian Rozaimi Zakaria Image Enhancement Method based on an Improved Fuzzy C-Means Clustering |
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Image enhancement is an important method in the process of image processing. This paper proposes an image enhancement method base on an improved fuzzy c-means clustering. The method consists of the following steps: firstly, proposed a fuzzy c-means clustering with a cooperation center (FCM-co). Secondly, using the FCM-co, divide the image pixels into different clusters and marked membership values to those clusters. Thirdly, modify the membership values. Finally, calculate the new pixel gray levels. This enhancement method can overcome the disadvantage of overexposure and better retain image details. Through the experiment, the test results show that the proposed enhancement method could achieve better performance. |
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Article |
author |
Libao Yang Suzelawati Zenian Rozaimi Zakaria |
author_facet |
Libao Yang Suzelawati Zenian Rozaimi Zakaria |
author_sort |
Libao Yang |
title |
Image Enhancement Method based on an Improved Fuzzy C-Means Clustering |
title_short |
Image Enhancement Method based on an Improved Fuzzy C-Means Clustering |
title_full |
Image Enhancement Method based on an Improved Fuzzy C-Means Clustering |
title_fullStr |
Image Enhancement Method based on an Improved Fuzzy C-Means Clustering |
title_full_unstemmed |
Image Enhancement Method based on an Improved Fuzzy C-Means Clustering |
title_sort |
image enhancement method based on an improved fuzzy c-means clustering |
publisher |
The Science and Information (SAI) Organization Limited |
publishDate |
2022 |
url |
https://eprints.ums.edu.my/id/eprint/34635/1/Abstract.pdf https://eprints.ums.edu.my/id/eprint/34635/2/Full%20text.pdf https://eprints.ums.edu.my/id/eprint/34635/ https://thesai.org/Publications/ViewPaper?Volume=13&Issue=8&Code=IJACSA&SerialNo=99 https://dx.doi.org/10.14569/IJACSA.2022.0130899 |
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13.18916 |