DocumentCode
1684053
Title
New compensation algorithm for color backlight images
Author
Su, Mu-Chun ; Guo, Jia-Hau ; Lin, Daw-Tung ; Wang, Guo Chung
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chung-li, Taiwan
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1396
Lastpage
1400
Abstract
This paper presents a new algorithm for compensating exposure in the case of backlighting, regardless of the position of objects. To achieve this compensation, the fuzzy c-means algorithm is first used to extract features from a backlight image. Then these extracted features are input into an SOM-based fuzzy system to determine the amount of compensation. A set of 26 images was tested to illustrate the performance of the algorithm
Keywords
feature extraction; fuzzy neural nets; image colour analysis; image enhancement; pattern clustering; self-organising feature maps; backlight image; backlighting; color images; exposure compensation; feature extraction; fuzzy clustering algorithm; histogram equalization; image enhancement; self-organizing feature map; Automatic testing; Brightness; Clustering algorithms; Computational modeling; Computer science; Feature extraction; Fuzzy systems; Hardware; Histograms; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1007720
Filename
1007720
Link To Document