Automated Lineament Extraction and Edge Linking Using Mask Processing and Hough Transform.

  • Choi, Sung-Won (Department of Earth and Environmental Sciences, Korea University) ;
  • Shin, Jin-Soo (Department of Earth and Environmental Sciences, Korea University) ;
  • Chi, Kwang-Hoon (Korea Institute of Geology, Mining and Materials(KIGAM) Earth & Environmental Division) ;
  • So, Chil-Sup (Department of Earth and Environmental Sciences, Korea University)
  • Published : 1999.11.01

Abstract

In geology, lineament features have been used to identify geological events, and many of scientists have been developed the algorithm that can be applied with the computer to recognize the lineaments. We choose several edge detection filter, line detection filters and Hough transform to detect an edge, line, and to vectorize the extracted lineament features, respectively. firstly the edge detection filter using a first-order derivative is applied to the original image In this step, rough lineament image is created Secondly, line detection filter is used to refine the previous image for further processing, where the wrong detected lines are, to some extents, excluded by using the variance of the pixel values that is composed of each line Thirdly, the thinning process is carried out to control the thickness of the line. At last, we use the Hough transform to convert the raster image to the vector one. A Landsat image is selected to extract lineament features. The result shows the lineament well regardless of directions. However, the degree of extraction of linear feature depends on the values of parameters and patterns of filters, therefore the development of new filter and the reduction of the number of parameter are required for the further study.

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