DocumentCode :
557744
Title :
Image edge detection based on maximum variations
Author :
Lin, Qinghua ; Du, Min
Author_Institution :
Coll. of Electr. Eng. & Autom., Fuzhou Univ., Fuzhou, China
Volume :
3
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
1256
Lastpage :
1258
Abstract :
Edge detection plays an important role in image processing. The classical gradient operators remain their few answers to little marked edges. An improved edge detection method based on maximum variations is presented in this paper. When detecting the edge, the algorithm enhances the variations at weak edge pixels, but doesn´t enhance the variations within an object. So the algorithm can detect the little marked edges in the image. The theory analysis and experiments also prove the present algorithm is reasonable and effective.
Keywords :
edge detection; gradient operators; image edge detection; image processing; maximum variations; weak edge pixels; Algorithm design and analysis; Detection algorithms; Educational institutions; Feature extraction; Image edge detection; Signal processing algorithms; Algorithm; Edge Detection; Little Marked Edge; Maximum Variations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
Type :
conf
DOI :
10.1109/CISP.2011.6100420
Filename :
6100420
Link To Document :
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