DocumentCode :
523682
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
Volume :
2
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
474
Lastpage :
477
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;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/ICICTA.2010.507
Filename :
5522821
Link To Document :
بازگشت