Share Email Print
cover

Proceedings Paper

Eliminating chromatic aberration of lens and recognition of thermal images with artificial intelligence applications
Author(s): Yi-Chin Fang; Bo-Wen Wu; Wei-Tang Lin; Jen-Liung Jon
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 14 November 2007
PDF: 8 pages
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
Show Author Affiliations
Yi-Chin Fang, National Kaohsiung First Univ. of Science and Technology (China)
Bo-Wen Wu, National Kaohsiung First Univ. of Science and Technology (China)
Wei-Tang Lin, National Kaohsiung First Univ. of Science and Technology (China)
Jen-Liung Jon, National Kaohsiung First Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

© SPIE. Terms of Use
Back to Top