scholarly journals A novel detection method for signal disturbances in the ship distribution network based on morphological gradient

2021 ◽  
Vol 2029 (1) ◽  
pp. 012144
Author(s):  
Yong Zhang ◽  
Chengjun Li
2014 ◽  
Vol 511-512 ◽  
pp. 550-553 ◽  
Author(s):  
Jian Yong Liang

Edge detection is an old and hot topic in image processing, pattern recognition and computer vision. Numerous edge detection approaches have been proposed to gray images. It is difficult to extend these approaches to color image edge detection. A novel edge detection method based on mathematical morphology for color images is proposed in this paper. The proposed approach firstly compute vector gradient based on morphological gradient operators, and then compute the optimal gradient according to structure elements with different size. Finally, we use a threshold to binary the gradient images and then obtain the edge images. Experimental results show that the proposed approach has advantages of suppressing noise and preserving edge details and it is not sensitive to noise pixel. The finally edge images via the proposed method have high PSNR and NC compared with the traditional approaches.


2018 ◽  
Vol 14 (4) ◽  
pp. 1370-1381 ◽  
Author(s):  
Xiaowei Wang ◽  
Jie Gao ◽  
Mingfei Chen ◽  
Xiangxiang Wei ◽  
Yanfang Wei ◽  
...  

2014 ◽  
Vol 971-973 ◽  
pp. 1756-1759 ◽  
Author(s):  
Chun Yan Nan ◽  
Xiao Hui Yang

In order to improve the accuracy of image edge detection.A spline interpolation sub pixel edge detection method based on improved morphological gradient is proposed in the thesis.Firstly,using improved morphological gradient filter operator for image coarse positioning;Then,the cubic spline interpolation method is carried out for pixel-level edge of the image interpolation so that the image edge locates in sub-pixel level.Have a simulation experiment to improved methods by Matlab, results show that the improved method can accurately detect the edge of the image, edge detection is fine, the precision of positioning is hight and the result of detection is good.


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