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Proceedings Paper

Color image segmentation of rock fracture stuffing base on image fusion
Author(s): Jun-ping Yao; Wei-xing Wang
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Paper Abstract

The characteristics of rock distortion mainly rely on different aspects of rock fractures, such as fracture structure, aperture, and especially tiny apertures and stuffing. The usual method for image segmentation of fracture apertures and stuffing is mainly according to the information of gray-level images and it is lack the filling material (stuffing) analysis. The main focus of this work is to perform automatic extract the information of the stuffing of fracture by using two illumination systems (visible light and ultraviolet waves light), acquiring two different color images on the same rock samples. Before image fracture delineation, the noise on the images is removed by the fusion of the information of the two images. Finally, the fractures and stuffing are automatically extracted by using the algorithm based on region growing and edge tracing. As tested, the method is satisfactory.

Paper Details

Date Published: 19 May 2006
PDF: 8 pages
Proc. SPIE 6199, Remote Sensing and Space Technology for Multidisciplinary Research and Applications, 61990K (19 May 2006); doi: 10.1117/12.673669
Show Author Affiliations
Jun-ping Yao, Chongqing Univ. of Posts and Telecommunications (China)
Wei-xing Wang, Chongqing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 6199:
Remote Sensing and Space Technology for Multidisciplinary Research and Applications
Qingxi Tong; Xiuwan Chen; Allen Huang; Wei Gao, Editor(s)

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