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8 February 2005 Real-time image matching in dual-band image fusion
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Advanced observing and collimating technology demands excellent image detectors. While improving the performance of single image detector, methods of extending the observing ability through new pattern based on existing image detectors should be studied. Multi-band image color fusion bends itself to synthesize natural scene color image through different band mono-chromic information [1]. Real-time image matching is the choke point of this technology. The accuracy and validity of traditional image correlation-matching algorithm are degraded by the presence of the gray change, object variation and image noise. For it uses the method of adding the difference of the pixels' gray value according to the corresponding position as degree of mismatching. In addition, natural scene different band mono-chromic image spectrum respond characteristics vary sharply. We studied image features of low-light and infrared images; founded the arithmetic model of different band image matching; put forward image margin correlation matching based on margin pixel detecting; and realized it on Altera EP1S80 developing system. The result shows that this new algorithm is effective to different band image matching.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi Zhang, Baomin Zhang, Lianfa Bai, and Weixian Qian "Real-time image matching in dual-band image fusion", Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005);

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