DocumentCode :
2619992
Title :
Generalized Structuring Element and Expended Morphological Filtering
Author :
Lan, Zhangli ; Sheng, Minglan
Author_Institution :
Sch. of Inf. Sci. & Eng., Chongqing Jiaotong Univ., Chongqing, China
Volume :
7
fYear :
2009
fDate :
March 31 2009-April 2 2009
Firstpage :
57
Lastpage :
61
Abstract :
Structuring element and morphological filtering are important methods to process and analyze images. The conception and character of generalized structuring element (GS) and expended morphological filtering (EMF) are presented. The advantage of GS and EMF is given out comparing to the traditional structuring element and morphological filtering. Two typical experiments using the theory of GS and EMF show that the novel method can extract information of important components from complex image efficiently.
Keywords :
image processing; complex image components; expended morphological filtering; generalized structuring element; image process; Brightness; Color; Colored noise; Image analysis; Image processing; Information analysis; Information filtering; Information filters; Morphology; Shape; Expended Morphological Filtering; Generalized Structuring Element; Image Process; Morphology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
Type :
conf
DOI :
10.1109/CSIE.2009.295
Filename :
5170280
Link To Document :
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