Research on the optimal selection method of image complexity assessment model index parameter

Yong Zhu; Jin Duan; Xiaofei Qian; Bo Xiao

doi:10.1117/12.2199494

8 October 2015 Research on the optimal selection method of image complexity assessment model index parameter

Yong Zhu, Jin Duan, Xiaofei Qian, Bo Xiao

Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 96751K (2015) https://doi.org/10.1117/12.2199494
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

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.

Citation Download Citation

Yong Zhu, Jin Duan, Xiaofei Qian, and Bo Xiao "Research on the optimal selection method of image complexity assessment model index parameter", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96751K (8 October 2015); https://doi.org/10.1117/12.2199494

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available