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 were tested to illustrate the performance of the algorithm.
Original language | English |
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Pages | 1396-1400 |
Number of pages | 5 |
DOIs | |
State | Published - May 2002 |
Event | 2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States Duration: 12 May 2002 → 17 May 2002 |
Conference
Conference | 2002 International Joint Conference on Neural Networks (IJCNN '02) |
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Country/Territory | United States |
City | Honolulu, HI |
Period | 12/05/02 → 17/05/02 |
Keywords
- Fuzzy clustering algorithm
- Histogram equalization
- Image enhancement
- Self-organizing feature map