Partial Discharge Source Localization in GIS Based on Image Edge Detection and Support Vector Machine

2019 ◽  
Vol 34 (4) ◽  
pp. 1795-1802 ◽  
Author(s):  
Xi Li ◽  
Xiaohua Wang ◽  
Aijun Yang ◽  
Mingzhe Rong
Keyword(s):  
Support Vector Machine ◽  
Edge Detection ◽  
Source Localization ◽  
Partial Discharge ◽  
Support Vector ◽  
Image Edge Detection ◽  
Discharge Source ◽  
Image Edge

Edge Detection with Information Measure and Support Vector Machine

2013 ◽  
Vol 278-280 ◽  
pp. 1187-1192
Author(s):  
Pei Wang
Keyword(s):  
Support Vector Machine ◽  
Differential Operator ◽  
Edge Detection ◽  
Information Measure ◽  
Support Vector ◽  
Image Edge Detection ◽  
Novel Method ◽  
Image Edge ◽  
Image Edges ◽  
Better Than

It is presented a novel method for image edge detection with information measure and Support Vector Machine, which is called EDWIS (edge detection with information measure and support vector machine). Both the theory analyses and the experimental results show that EDWIS not only can effectively reduce the noises of the image, but also can precisely realize the edge-position, and keep the image edges’ details well. For three kinds of images, two of them including noise, the edge detection results of EDWIS are better than those of Canny, or Sobel differential operator.

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