A Novel Image Enhancement Algorithm for a Small Target Detection of Panoramic Infrared Imagery(<Special Section>Papers Selected from ITC-CSCC 2004)
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概要
- 論文の詳細を見る
A novel image enhancement algorithm that can efficiently detect a small target of panoramic infrared (IR) imagery is proposed. Image enhancement is the first step for detecting and recognizing a small target in the IR imagery. The essence of the proposed algorithm is to utilize the independent histogram equalization (HE) separately over two sub-images obtained by decomposing the given image through the statistical hypothesis testing (SHT). Experimental results show that the proposed algorithm has better discrimination and lower false alarm rate than the conventional algorithms.
- 社団法人電子情報通信学会の論文
- 2005-06-01
著者
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Hwang Hee-chul
School Of Electronic And Electrical Engineering Kyungpook National University
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Hwang Hee-chul
School Of Electrical Engineering And Computer Science Kyungpook National University
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Kim Ki-hong
Agency For Defense Development
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KIM Duk-Gyoo
School of Electronic and Electrical Engineering, Kyungpook National University
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Kim Duk-gyoo
School Of Electrical Engineering And Computer Science Kyungpook National University
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Kim Ju-young
School Of Electrical Engineering And Computer Science Kyungpook National University
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