Title :
A Novel Image Segmentation Method of Pavement Surface Cracks Based on Fractal Theory
Author :
Zuo, Yongxia ; Wang, Guoqiang ; Zuo, Chuncheng
Author_Institution :
Coll. of Mech. Sci. & Eng., Jilin Univ., Changchun, China
Abstract :
According to the features of pavement surface cracks, a novel image segmentation method based on fractal theory is presented in this paper. The optimization process to the fractal properties of pavement surface cracks segmentation is discussed in detail. Experiment results demonstrate that the novel algorithm could identify the edges of pavement surface cracks correctly and the performance of our proposed scheme is better than the previous classical algorithms.
Keywords :
image segmentation; mechanical engineering computing; surface cracks; fractal theory; image segmentation; pavement surface cracks segmentation; Computational intelligence; Digital images; Educational institutions; Fractals; Image edge detection; Image segmentation; Rough surfaces; Security; Surface cracks; Surface roughness; fractal theory; image segmentation; pavement surface cracks;
Conference_Titel :
Computational Intelligence and Security, 2008. CIS '08. International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-0-7695-3508-1
DOI :
10.1109/CIS.2008.206