DocumentCode
1597518
Title
Multi-scale Mathematical Morphology Based Image Edge Detection
Author
Wang Tao ; Wei Na
Author_Institution
Teaching & Res. Div. of Inf. Technol., Eng. Coll. of Armed Police Force, China
fYear
2012
Firstpage
1060
Lastpage
1062
Abstract
Edge detection is one of the most challenging tasks in image processing. A scheme for edge detection of images based on multi-scale morphology is presented in this paper. Mathematical morphology is a mathematic tool to analyze the image based on the structuring element. The morphological edge detection operator is non-linear difference operator. The results due to the proposed method have been found reasonably satisfactory. It proves that a morphological operation with a scalable structuring element can extract features more exactly.
Keywords
edge detection; feature extraction; mathematical morphology; nonlinear differential equations; features extraction; image edge detection; image processing; multiscale mathematical morphology; nonlinear difference operator; structuring element; Feature extraction; Filtering theory; Image edge detection; Morphology; Noise; Shape; Edge detection; Mathematical morphology; Multi-scale structuring element;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-1-4577-2120-5
Type
conf
DOI
10.1109/ISdea.2012.674
Filename
6173387
Link To Document