NSCT based computation of similarity measure for stereo image matching

被引：0

作者：

Zhang, Ka ^{[1
,2
,3
]}

Sheng, Yehua ^{[1
,2
,3
]}

Guan, Zhongcheng ^{[4
]}

Li, Jia ^{[1
]}

机构：

[1] Key Laboratory of Virtual Geographic Environment, MOE, Nanjing Normal University, Nanjing

[2] Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing

[3] Key Laboratory of Police Geographic Information Technology Ministry of Public Security, Nanjing Normal University, Nanjing

[4] Qingdao Municipal Engineering Design & Research Institute Co. Ltd., Qingdao

来源：

Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | 2015年 / 40卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Matching reliability; Nonsubsampled Contourlet transform; Stereo image matching; Structure feature; Weighted similarity measure;

D O I：

10.13203/j.whugis20130346

中图分类号：

学科分类号：

摘要：

A new weighted similarity measure based on nonsubsampled contourlet transform is proposed in this paper. In the new algorithm, high frequency sub-band parameters of left and right images in different scales and directions are firstly obtained by respectively carrying out NSCT to left and right images of stereopair. Secondly, according to high frequency sub-band parameters and gray levels in RGB channels of image, the computation model of weighted similarity measure between target window and searching window is designed. Lastly, utilizing standard stereo images, contrast experiments among proposed similarity measure and some known measures such as normalized correlation coefficient, etc.. Experimental results show that utilization of high frequency parameters of NSCT enhances the robustness of similarity measure and increases the reliability of stereo image matching. ©, 2015, Wuhan University. All right reserved.

引用

页码：457 / 461

页数：4

共 13 条

[11]

Richardt C., Orr D., Davies I., Et al., Real-time Spatiotemporal Stereo Matching Using the Dual-cross-bilateral Grid, Lecture Notes in Computer Science, 6313, pp. 510-523, (2010)

[12]

Nalpantidis L., Gasteratos A., Biologically and Psychophysically Inspired Adaptive Support Weights Algorithm for Stereo Correspondence, Robotics and Autonomous Systems, 58, 5, pp. 457-464, (2010)

[13]

Nalpantidis L., Gasteratos A., Stereo Vision for Robotic Applications in the Presence of Non-ideal Lighting Conditions, Image and Vision Computing, 28, 6, pp. 940-951, (2010)

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