Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.295
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.
Image Process; Morphology; Generalized Structuring Element; Expended Morphological Filtering
M. Sheng and Z. Lan, "Generalized Structuring Element and Expended Morphological Filtering," 2009 WRI World Congress on Computer Science and Information Engineering, CSIE(CSIE), Los Angeles, CA, 2009, pp. 57-61.