Title :
Image Edge Detection Based on Adaptive Selection the Value of Structure Element of Mathematical Morphology
Author_Institution :
Dept. of Commun., Guangzhou Civil Aviation Coll., Guangzhou
Abstract :
Selecting an appropriate value of structure element is a difficulty in mathematical morphology area. This paper brings forward an adaptively optimizing algorithm for the values of structure elements using in image edge detection. It varies the values according to the changes of gradients of different areas in an image. The result demonstrates that this method performs better in enhancing image edge than ordinary structure elements.
Keywords :
edge detection; image enhancement; mathematical morphology; optimisation; adaptive selection; adaptively optimizing algorithm; image edge detection; image edge enhancement; mathematical morphology; Appropriate technology; Buildings; Computer vision; Data mining; Educational institutions; Gray-scale; Image edge detection; Mathematics; Morphology; Pattern recognition; adaptivel selection; component; edge detection; mathematical morphology; the value of structure element;
Conference_Titel :
Electronic Computer Technology, 2009 International Conference on
Conference_Location :
Macau
Print_ISBN :
978-0-7695-3559-3
DOI :
10.1109/ICECT.2009.54
