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