Eliminating chromatic aberration of lens and recognition of thermal images with artificial intelligence applications

Yi-Chin Fang; Bo-Wen Wu; Wei-Tang Lin; Jen-Liung Jon

doi:10.1117/12.774772

14 November 2007 Eliminating chromatic aberration of lens and recognition of thermal images with artificial intelligence applications

Yi-Chin Fang, Bo-Wen Wu, Wei-Tang Lin, Jen-Liung Jon

Author Affiliations +

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.

Citation Download Citation

Yi-Chin Fang, Bo-Wen Wu, Wei-Tang Lin, and 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); https://doi.org/10.1117/12.774772

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