Transactions of Nanjing University of Aeronautics & Astronautics
Scratch Detection Algorithm of Car Surface Based on Directional Color SUSAN Operator
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Abstract:
The car surface scratch detection adopts the traditional manual detection with poor efficiency and high missing rate. Because of the gray mark and the background of car surface scratches, the traditional edge detection algorithm cannot meet the needs of car surface scratch detection. Therefore, the directional SUSAN algorithm based on CIELab color space is adopted in this paper. The direction template and the circle template to calculate the color difference of the color image are used in the algorithm which has been converted to the CIELab space. The edges and scratches are eliminated by matching and contrasting the detected image with the edge template. Experimental results show that the algorithm can effectively detect scratches on the surface of cars, improve the detection speed and reduce the undetected rate.
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Clc Number:
TP391
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