Image Enhancement Method based on an Improved Fuzzy C-Means Clustering

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

[img] Text

Download (36kB)
[img] Text
Full text.pdf
Restricted to Registered users only

Download (1MB)


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.

Item Type: Article
Keyword: Image enhancement , Fuzzy clustering , Fuzzy c-means clustering , Membership , Objective function
Subjects: Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines
T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General)
Department: FACULTY > Faculty of Science and Natural Resources
Date Deposited: 31 Oct 2022 09:17
Last Modified: 31 Oct 2022 09:17

Actions (login required)

View Item View Item