DocumentCode :
3076446
Title :
An Improved Image Enhancement Algorithm Based on Fuzzy Sets
Author :
ShiWei, Tang ; Guofeng, Zu ; Mingming, Nie
Author_Institution :
Coll. of Comput. & Inf. Technol., Daqing Pet. Inst., Daqing, China
Volume :
1
fYear :
2010
fDate :
16-18 July 2010
Firstpage :
197
Lastpage :
199
Abstract :
An improved algorithm is brought out in this paper in order to overcome the shortcomings of the traditional Pal-King image enhancement algorithm based on fuzzy sets. A new membership function and fuzzy-enhancement operator is reconstructed in the improved algorithm based on the analysis and research on Pal-King fuzzy-enhancement algorithm. At the same time simulation experiments are carried out. The results show that the improved algorithm effectively overcomes the shortcomings of the Pal-King fuzzy-enhancement algorithm, and guaranties the overall effect of image enhancement, and retains the edge information of the low gray value in the image and improves the efficiency of the algorithm at the same time. Therefore, the improved algorithm in this paper is an effective and efficient image enhancement algorithm based on fuzzy sets.
Keywords :
edge detection; fuzzy set theory; image enhancement; Pal-King image enhancement algorithm; edge information; fuzzy sets; fuzzy-enhancement operator; low gray value; Algorithm design and analysis; Fuzzy sets; Histograms; Image edge detection; Image enhancement; Image segmentation; Iron; fuzzy set; fuzzy-enhancement operator; image enhancement; low gray value; membership function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications (IFITA), 2010 International Forum on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-7621-3
Electronic_ISBN :
978-1-4244-7622-0
Type :
conf
DOI :
10.1109/IFITA.2010.219
Filename :
5635124
Link To Document :
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