Title :
An edge based segmentation algorithm for rock fracture tracing
Author_Institution :
Dept. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun., China
Abstract :
Rock fractures mapping is very important in many rock engineering applications. To successfully apply automatic image processing techniques for the problem of automatic rock fracture detection and description, the hardest task is the automatic detection of fractures robustly in images. A so-called valley-edge detection algorithm ("valley" or ("ridge") means here finding locally dark (or bright) line-like features) is one-pass line detection algorithm (without thresholding step). The developed fracture detection algorithm is robust for the ridge edge detection and fracture tracing, but for the rough surface with thick cracks or fractures, using multi-scale technology can alleviate producing noise fractures. The algorithm has been tested for detecting fractures. Results indicate that this approach is useful in this domain of images.
Keywords :
edge detection; fracture; geophysical signal processing; image segmentation; rocks; automatic image processing technique; automatic rock fracture detection; edge based segmentation algorithm; one-pass line detection algorithm; ridge edge detection; rock engineering application; rock fracture mapping; rock fracture tracing; valley-edge detection algorithm; Application software; Computer science; Detection algorithms; Image analysis; Image edge detection; Image processing; Image segmentation; Optical imaging; Space technology; Writing; Edge detection; Multiple scales; Ridge detection; Rock fractures;
Conference_Titel :
Computer Graphics, Imaging and Vision: New Trends, 2005. International Conference on
Print_ISBN :
0-7695-2392-7
DOI :
10.1109/CGIV.2005.16