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01-Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 
 
 

Content
 

Volumes > Volume 08 > No. 6

 
   

An Improved Unit-Linking PCNN for Segmentation of Infrared Insulator Image

PP: 2997-3004
Author(s)
Kebin Cui, Baoshu Li, Jinsha Yuan, Ping Wang,
Abstract
To segment the infrared insulator image efficiently, an improved Unit-linking PCNN algorithm, which makes improvements on both the linking coefficient b and the standard for choosing the best segmented image, is proposed in this paper. The relationship of the gray value of each neuron is used to determine the linking coefficient b and MSE, which consider the relationship between the gray value of the original image and the segmented image, is used to determine the best segmented image. The proposed algorithm is tested on both the standard test images and the aerial infrared images and the results show that the proposed algorithm gives better segmentation of the target image and better vision effect and less time are needed to get the best one.

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