Share Email Print
cover

Proceedings Paper

Research on image complexity evaluation method based on color information
Author(s): Hao Wang; Jin Duan; Xue-hui Han; Bo Xiao
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In order to evaluate the complexity of a color image more effectively and find the connection between image complexity and image information, this paper presents a method to compute the complexity of image based on color information.Under the complexity ,the theoretical analysis first divides the complexity from the subjective level, divides into three levels: low complexity, medium complexity and high complexity, and then carries on the image feature extraction, finally establishes the function between the complexity value and the color characteristic model. The experimental results show that this kind of evaluation method can objectively reconstruct the complexity of the image from the image feature research. The experimental results obtained by the method of this paper are in good agreement with the results of human visual perception complexity,Color image complexity has a certain reference value.

Paper Details

Date Published: 15 November 2017
PDF: 6 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106051Q (15 November 2017); doi: 10.1117/12.2291728
Show Author Affiliations
Hao Wang, Changchun Univ. of Science and Technology (China)
Jin Duan, Changchun Univ. of Science and Technology (China)
Xue-hui Han, Changchun Univ. of Science and Technology (China)
Bo Xiao, Changchun Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

© SPIE. Terms of Use
Back to Top