Infrared Image Edge Detection of High Voltage Insulator Chain

2011 ◽  
Vol 58-60 ◽  
pp. 1882-1885 ◽  
Author(s):  
Ali Hui

A new method for image edge detection based on envelope curve of histogram is proposed, aimed at the characteristics of high voltage transmission line. In order to inhibit noise influence on infrared image, envelop curve of histogram, got from Savitzky-Golay(S-G) filter, is used to smooth the image, and the edge of infrared image can be detected based on the extreme points of the envelop curve. Experimental results show that this new algorithm is simple and effective to detect whole contour and detail information, and is better than other traditional operators.

2012 ◽  
Vol 41 (11) ◽  
pp. 1354-1358 ◽  
Author(s):  
王巍 WANG Wei ◽  
安友伟 AN You-wei ◽  
黄展 HUANG Zhan ◽  
丁锋 DING Feng ◽  
杨铿 YANG Keng ◽  
...  

2021 ◽  
Vol 2087 (1) ◽  
pp. 012091
Author(s):  
Yongjian Lin ◽  
Kanglin Liu ◽  
Baorong Wei ◽  
Yantai Wei ◽  
Kaiyuan Long

Abstract In the edge detection of foreign object hanging image of high voltage transmission line, it is easy to appear that multiple responses will appear at one image edge point, which affects the detection effect. Based on the improved Canny operator, an edge detection method for foreign matter suspension image of high voltage transmission line is designed. The collected image is preprocessed in three steps: gray processing, optical correction and noise reduction, so as to better reflect the characteristics of the original image and improve the image quality. The non-uniform distribution of potential energy of foreign body hanging image data field is used to locate the image area of foreign body hanging. The morphological filter can extract the local noise and make the image clearer. The Canny operator is improved to obtain the partial derivative of the distance measurement function and automatically update the threshold to eliminate the multi-level response. The test results show that the method in this paper is better than the image edge detection method based on Canny operator and Sobel operator in three indexes: positive detection rate, false detection rate and missed detection rate.


2013 ◽  
Vol 860-863 ◽  
pp. 2884-2887 ◽  
Author(s):  
Yu Bing Dong ◽  
Ming Jing Li ◽  
Hai Yan Wang

Edge detection is an important field in image processing. Edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding of edge detection techniques. Various image edge detection techniques are introduced. These techniques are compared by using MATLAB7.0. The qualities of these techniques are elaborated. The results show that Canny edge detection techniques is better than others.


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