Title :
Image Segmentation Based on Global Extraction and Local Repair of Boundaries
Author :
Mincong, He ; Weixin, Ling ; Jianhui, Zhao
Author_Institution :
South China Univ. of Technol., Guangzhou, China
Abstract :
As the edge lines obtained from the Canny´s edge detection operator are not closed, it difficult to use the edge map for the image segmentation. Moreover, the detection result contains some edge lines have nothing to do with the target partition, also resulting in poor segmentation results. This paper presents a method combining global edge extraction with local edge repair, in conjunction with the morphological processing to obtain closed edge lines and remove irrelevant edge. GELR is short for this method.
Keywords :
edge detection; feature extraction; image segmentation; Canny edge detection operator; GELR; edge lines; global extraction; image segmentation; local boundaries repair; Automation; Flowcharts; Gaussian noise; Genetic mutations; Helium; Image edge detection; Image segmentation; Level set; Low pass filters; Morphology; Canny operator; Edge detection; Image segmentation; morphology;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.507