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Proceedings Paper

Research on the optimal selection method of image complexity assessment model index parameter
Author(s): Yong Zhu; Jin Duan; Xiaofei Qian; Bo Xiao
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Paper Abstract

Target recognition is widely used in national economy, space technology and national defense and other fields. There is great difference between the difficulty of the target recognition and target extraction. The image complexity is evaluating the difficulty level of extracting the target from background. It can be used as a prior evaluation index of the target recognition algorithm's effectiveness. The paper, from the perspective of the target and background characteristics measurement, describe image complexity metrics parameters using quantitative, accurate mathematical relationship. For the collinear problems between each measurement parameters, image complexity metrics parameters are clustered with gray correlation method. It can realize the metrics parameters of extraction and selection, improve the reliability and validity of image complexity description and representation, and optimize the image the complexity assessment calculation model. Experiment results demonstrate that when gray system theory is applied to the image complexity analysis, target characteristics image complexity can be measured more accurately and effectively.

Paper Details

Date Published: 8 October 2015
PDF: 7 pages
Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96751K (8 October 2015); doi: 10.1117/12.2199494
Show Author Affiliations
Yong Zhu, Changchun Univ. of Science and Technology (China)
Jin Duan, Changchun Univ. of Science and Technology (China)
Xiaofei Qian, Changchun Univ. of Science and Technology (China)
Bo Xiao, Changchun Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 9675:
AOPC 2015: Image Processing and Analysis
Chunhua Shen; Weiping Yang; Honghai Liu, Editor(s)

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