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Proceedings Paper

Singularity analysis of pavement surface images
Author(s): Gang Wang; An-zhi He; Liang Xiao
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Paper Abstract

The framework of analyzing the image singularity based on the sub-pixel multifractal measure (SPMM) is presented in this paper. Performing SPMM can give the sub-pixel local distribution of image gradient and a more precise singularity exponent distribution of the image. And the MSM detected this way reflects the most important information of the image. Meantime, using singularity exponents and the most singular manifold, the image can be decomposed into a series of sets with different statistical and physical properties automatically and easily. Using the pavement surface crack image as an example, it shows that the physical and geometrical properties of the structures can be obtained by analyzing the distribution of singularity exponents and the most singularity exponent. Furthermore, the pavement surface images with or without crack can also be distinguished.

Paper Details

Date Published: 17 January 2008
PDF: 7 pages
Proc. SPIE 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 67234H (17 January 2008); doi: 10.1117/12.783640
Show Author Affiliations
Gang Wang, Nanjing Univ. of Information Science and Technology (China)
LuDong Univ. (China)
An-zhi He, Nanjing Univ. of Information Science and Technology (China)
Liang Xiao, Nanjing Univ. of Information Science and Technology (China)


Published in SPIE Proceedings Vol. 6723:
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Junhua Pan; James C. Wyant; Hexin Wang, Editor(s)

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