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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1007720
