New compensation algorithm for color backlight images

Mu Chun Su; Jia Hau Guo; Daw Tung Lin; Guo Chung Wang

New compensation algorithm for color backlight images

Mu Chun Su, Jia Hau Guo, Daw Tung Lin, Guo Chung Wang

資訊工程學系

研究成果: 會議貢獻類型 › 會議論文 › 同行評審

9 引文斯高帕斯（Scopus）

摘要

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.

原文	???core.languages.en_GB???
頁面	1396-1400
頁數	5
出版狀態	已出版 - 2002
事件	2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States 持續時間: 12 5月 2002 → 17 5月 2002

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2002 International Joint Conference on Neural Networks (IJCNN '02)
國家/地區	United States
城市	Honolulu, HI
期間	12/05/02 → 17/05/02

引用此

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keywords = "Fuzzy clustering algorithm, Histogram equalization, Image enhancement, Self-organizing feature map",

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AU - Su, Mu Chun

AU - Guo, Jia Hau

AU - Lin, Daw Tung

AU - Wang, Guo Chung

PY - 2002

Y1 - 2002

N2 - 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.

AB - 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.

KW - Fuzzy clustering algorithm

KW - Histogram equalization

KW - Image enhancement

KW - Self-organizing feature map

UR - http://www.scopus.com/inward/record.url?scp=0036086265&partnerID=8YFLogxK

M3 - 會議論文

AN - SCOPUS:0036086265

SP - 1396

EP - 1400

T2 - 2002 International Joint Conference on Neural Networks (IJCNN '02)

Y2 - 12 May 2002 through 17 May 2002

ER -

New compensation algorithm for color backlight images

摘要

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指紋

引用此