Infrared target detection based on regional location and contour segmentation
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1.
School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China
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Received Date:
2014-08-18
Accepted Date:
2014-10-20
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Abstract
Infrared images are usually interfered by random noise seriously. Infrared targets detected by the traditional detection algorithm based on Gaussian mixture model are difficult to be identified because of false contour. In order to identify the infrared target accurately, an infrared target detection algorithm based on pulse coupled neural network(PCNN) and Gaussian mixture model was proposed. Firstly, Gaussian mixture model was used to locate the approximate location of moving targets. And then, a closed region was obtained by using watershed algorithm based on spatial information. Segmentation algorithm based on PCNN was used to shear the pseudo-target and the complete moving target was detected. The experimental results show that this method can eliminate the pseudo target of the traditional methods and detect the infrared moving targets accurately. The new algorithm is superior to the other conventional algorithms.
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