14 November 2007 Eliminating chromatic aberration of lens and recognition of thermal images with artificial intelligence applications
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Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67904B (2007) https://doi.org/10.1117/12.774772
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Resolution and color are two main directions for measuring optical digital image, but it will be a hard work to integral improve the image quality of optical system, because there are many limits such as size, materials and environment of optical system design. Therefore, it is important to let blurred images as aberrations and noises or due to the characteristics of human vision as far distance and small targets to raise the capability of image recognition with artificial intelligence such as genetic algorithm and neural network in the condition that decreasing color aberration of optical system and not to increase complex calculation in the image processes. This study could achieve the goal of integral, economically and effectively to improve recognition and classification in low quality image from optical system and environment.
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Yi-Chin Fang, Yi-Chin Fang, Bo-Wen Wu, Bo-Wen Wu, Wei-Tang Lin, Wei-Tang Lin, Jen-Liung Jon, Jen-Liung Jon, } "Eliminating chromatic aberration of lens and recognition of thermal images with artificial intelligence applications", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67904B (14 November 2007); doi: 10.1117/12.774772; https://doi.org/10.1117/12.774772
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