DocumentCode
2986767
Title
Image Local Contrast Enhancement Based on Grey Relational Analysis
Author
Li Gang
Author_Institution
Sch. of Sci., Wuhan Univ. of Technol., Wuhan, China
fYear
2009
fDate
18-20 Jan. 2009
Firstpage
1
Lastpage
4
Abstract
This paper described a new method based on the Grey relational analysis (GRA) for image local contrast enhancement. With regard to the drawbacks of the traditional image local enhancement, we firstly took advantage of the GRA to evaluate the mean edge gray value in the window of the neighborhood instead of using other conventional edge detection operator, and adjusted the contrast enhancement function domain in order to enhance the edge and at the same time prevent the smooth region in image becoming rough. The experiment and simulation results show that the new algorithm outperforms the classic approaches, can get a better effect. Moreover, the proposed method herein widens the use of GRA scope, and has provided us with a new way to image enhancement.
Keywords
edge detection; grey systems; image enhancement; edge detection operator; grey relational analysis; image local contrast enhancement; Context modeling; Detectors; Gray-scale; Histograms; Humans; Image analysis; Image edge detection; Image enhancement; Image processing; Paper technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5272-9
Type
conf
DOI
10.1109/CNMT.2009.5374554
Filename
5374554
Link To Document