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

被引:2
作者
Yang, Libao [1 ]
Zenian, Suzelawati [1 ]
Zakaria, Rozaimi [1 ]
机构
[1] Univ Malaysia Sabah, Fac Sci & Nat Resources, Kota Kinabalu 88400, Malaysia
关键词
Image enhancement; fuzzy clustering; fuzzy c-means clustering; membership; objective function;
D O I
10.14569/IJACSA.2022.0130899
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:855 / 859
页数:5
相关论文
共 28 条
[1]  
[Anonymous], 1981, PATTERN RECOGN
[2]  
Chaira T., 2017, Fuzzy Image Processing and Applications With MATLAB
[3]   A novel fuzzy logic approach to contrast enhancement [J].
Cheng, HD ;
Xu, HJ .
PATTERN RECOGNITION, 2000, 33 (05) :809-819
[4]  
Dunn JC., 1973, J CYBERNETICS, V3, P32, DOI [10.1080/01969727308546046, 10.1080/ 01969727308546046, DOI 10.1080/01969727308546046]
[5]  
Gonzales RC, 2004, Digital Image Processing Using MATLAB
[6]  
Gonzalez R. C., 2009, Digital Image Processing, DOI DOI 10.1117/1.3115362
[7]  
Gupta A. K., 2016, International Journal of Engineering Research and General Science, V4, P518
[8]   Color image enhancement by fuzzy intensification [J].
Hanmandlu, M ;
Jha, D ;
Sharma, R .
PATTERN RECOGNITION LETTERS, 2003, 24 (1-3) :81-87
[9]   A Novel Optimal Fuzzy System for Color Image Enhancement Using Bacterial Foraging [J].
Hanmandlu, Madasu ;
Verma, Om Prakash ;
Kumar, Nukala Krishna ;
Kulkarni, Muralidhar .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2009, 58 (08) :2867-2879
[10]  
Hasikin K., 2012, 2012 UKSim 14th International Conference on Computer Modelling and Simulation (UKSim), P371, DOI 10.1109/UKSim.2012.60