Title :
Edge detection of cord fabric defects image based on an improved morphological erosion detection methods
Author :
Wang, Dongyun ; Liu, Huiqin
Author_Institution :
Electr. Dept., Zhongyuan Univ. of Technol., Zhengzhou, China
Abstract :
An improved erosion detection method is proposed in this paper for edge detection of defect image Pulp plaque which is processed by improved morphological filtering. Furthermore, applying some traditional methods, such as difference marginal check method, Laplace edge check method, Sobel edge check method, morphological dilation detection method and morphology of erosion detection method, to detect the image edge. The experiment results show that improvement shape erosion examination algorithm proposed by this article has the noise elimination influence function, and furthermore, can retain the edge detail information of the goal in enormous degree, which is a effective edge detection method.
Keywords :
edge detection; fabrics; filtering theory; image denoising; image segmentation; matrix algebra; Laplace edge check method; Sobel edge check method; cord fabric defect image; defect image pulp plaque; difference marginal check method; image edge detection; image segmentation; improved morphological erosion detection methods; improved morphological filtering; morphological dilation detection method; noise elimination; shape erosion examination algorithm; Corrosion; Digital images; Image edge detection; Laplace equations; Morphology; Noise; Shape; cord fabric; defects image; edge detection; morphological erosion;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5584778