TY - GEN
T1 - Edge detection based on mathematical morphology and iterative thresholding
AU - Bai, Xiangzhi
AU - Zhou, Fugen
PY - 2006
Y1 - 2006
N2 - Edge detection is a crucial and basic tool in image segmentation. The key of edge detection in gray image is to detect more edge details, reduce the noise impact to the largest degree, and threshold the edge image automatically. According to this, a novel edge detection method based on mathematic morphology and iterative thresholding is proposed in this paper. A modified morphological transform through regrouping the priorities of several morphological transforms based on contour structuring elements is realized first, and then an edge detector is defined by using the multiscale operation of the modified morphological transform to detect the gray-scale edge map. Finally, a new iterative thresholding algorithm is applied to obtain the binary edge image. Comparative study with other morphological methods reveals its superiority over de-noising capacity, edge details protection and un-sensitivity to the shape of the structuring elements.
AB - Edge detection is a crucial and basic tool in image segmentation. The key of edge detection in gray image is to detect more edge details, reduce the noise impact to the largest degree, and threshold the edge image automatically. According to this, a novel edge detection method based on mathematic morphology and iterative thresholding is proposed in this paper. A modified morphological transform through regrouping the priorities of several morphological transforms based on contour structuring elements is realized first, and then an edge detector is defined by using the multiscale operation of the modified morphological transform to detect the gray-scale edge map. Finally, a new iterative thresholding algorithm is applied to obtain the binary edge image. Comparative study with other morphological methods reveals its superiority over de-noising capacity, edge details protection and un-sensitivity to the shape of the structuring elements.
UR - https://www.scopus.com/pages/publications/38949143019
U2 - 10.1109/ICCIAS.2006.295385
DO - 10.1109/ICCIAS.2006.295385
M3 - 会议稿件
AN - SCOPUS:38949143019
SN - 1424406056
SN - 9781424406050
T3 - 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
SP - 1849
EP - 1852
BT - 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
PB - IEEE Computer Society
T2 - 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Y2 - 3 October 2006 through 6 October 2006
ER -