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
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;
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
DOI :
10.1109/ISdea.2012.674