Ultraviolet Imaging Detection for the Discharge of Polluted Insulators Based on Iterative Threshold Segmentation

Author(s):  
Wen Shuang Duan ◽  
Shu Jia Yan ◽  
Mei Song Tong ◽  
Jin Ke Lu ◽  
Hong Tao Shan
2013 ◽  
Vol 860-863 ◽  
pp. 2888-2891
Author(s):  
Yu Bing Dong ◽  
Ming Jing Li ◽  
Ying Sun

Thresholding is one of the critical steps in pattern recognition and has a significant effect on the upcoming steps of image application, the important objectives of thresholding are as follows, and separating objects from background, decreasing the capacity of data consequently increases speed. Various threshold segmentation methods are studied. These methods are compared by using MATLAB7.0. The qualities of image segmentation are elaborated. The results show that iterative threshold segmentation method is better than others.


2014 ◽  
Vol 701-702 ◽  
pp. 330-333
Author(s):  
Lei Shao ◽  
Yi Mu ◽  
Peng Guo ◽  
Jun Liu ◽  
Guo Ling Dong ◽  
...  

Image segmentation is the key step in image recognition,the result of segmentation affects the one of recognition directly.The article introduces the concept and detailed definition of the image segmentation. The segmentation algorithm of iterative threshold in detail. According to the intrinsic characteristics of weed images, just can use the iteration threshold segmentation method, and implements them by Matlab programme, then processes three weed images, respectively to obtain effective results , and establishes a good base for the pick-up of the target character.


2007 ◽  
Vol 34 (4) ◽  
pp. 1253-1265 ◽  
Author(s):  
Laura Drever ◽  
Wilson Roa ◽  
Alexander McEwan ◽  
Don Robinson

2021 ◽  
Author(s):  
Weilan Guo ◽  
Haitao Wang ◽  
Fengyun Lu ◽  
Xin Tong ◽  
Xiaoxu Gao

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