Study for Catenary Fault Detection Based on MNP Method

Yong Zhi Min; Hong Xia Wang; Jian Wu Dang

doi:10.4028/www.scientific.net/AMR.971-973.1760

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Simulation of Determining of Circular-Harmonic Filter Expansion Center and Order
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Spline Interpolation Sub Pixel Edge Detection Method Based on Improved Morphological Gradient
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Study for Catenary Fault Detection Based on MNP Method
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Target Scale Adaptive Control Based on Comparing Bhattacharyya Coefficient
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The Application of User Macro-Program in the Modularization Programming
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 971-973Study for Catenary Fault Detection Based on MNP...

Study for Catenary Fault Detection Based on MNP Method

Abstract:

For catenary faults are caused by hot, so infrared thermal imaging technology and image processing are combined in catenary thermal fault detection. In image process, image template matching can be used in target detection of infrared image. As mutual information is similarity measure criterion in image template matching, and weakness of NP window is long computing time, so the paper employ MNP method to instead the original NP window. Experimental results show calculating the joint probability distribution and the matching time of MNP method has advantages. When the template size is 5×5, MNP method has the higher template matching accuracy.