Title :
Operators to dilate and erode color impulse noise images based on the morphology
Author_Institution :
Research direction: Digital Image Processing; Computer Graphics, Computer and Information Engineering Department, Huainan Normal University, Huainan, 232038 P. R. China
Abstract :
By analyzing the numerical characteristics of impulse noise images, in order to resolve spreading-noise problem resulted from dilating and eroding images base on mathematical morphology, an algorithm of dilating and eroding color impulse noise images based on mathematical morphology is proposed. The result of the experiment demonstrates that the new algorithm has same effect as traditional algorithm of dilating and eroding images, but also suppresses impulse noise.
Keywords :
Colored noise; Computers; Image color analysis; Machine vision; Morphology; Niobium; dilation; erosion; impulse noise; mathematical morphology; vector order;
Conference_Titel :
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4244-8691-5
DOI :
10.1109/ICEBEG.2011.5882400
