Title :
Edge detection algorithm of core image based on the improved Canny operator
Author :
Qi-kun, Huang ; Yun-cai, Zhou
Author_Institution :
Coll. of Comput. Sci. Yangtze Univ., Jingzhou, China
Abstract :
As one of the most precious source of oilfield, core is the best material to realize and evaluate the underlying geological features. Furthermore, after related processing of core image, the material of core can be more effectively gotten and preserved constantly. This paper select the Canny edge detection operator, and improved it with filtering by Gauss sigma function and adaptive dual-threshold detection and non-local maximum suppression based on dual-threshold, apply to core image edge detection, can get good results both on the precision and accuracy of detection and edge thinning.
Keywords :
edge detection; Gauss sigma function; adaptive dual-threshold detection; core image; edge detection algorithm; geological features; improved canny operator; non-local maximum suppression; Geology; Image edge detection; Gauss sigma filter; canny operator; core image; edge detection; non-maxima suppression;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5563999