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
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