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| Detection of Transparent Lamp Parts Based on Image Matching |
| ZHU Wan-yi,MU Ping-an,DAI Shu-guang |
| Shanghai University of Science and Technology, Shanghai 200093, China |
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Abstract To satisfy the detection of transparent lamp parts in the car lights assembly,a hierarchical matching algorithm based on the image pyramid was proposed combining with the normalized cross correlation method. Histogram equalization and sharpening filtering are used to improve the gray contrast and to enhance the edge of the image. Then the image matching is realized by the normalized cross correlation similarity function, and through pyramid algorithm to improve the speed of image matching. The appropriate matching window size, pyramid layer number and similarity threshold is determined to achieve the installation of transparent parts of the lamp detection through the experiment. It has been proved that the detection rate of the transparent part can reach 95% and the average detection time is 50ms, which has high accuracy and speed.
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Received: 13 April 2017
Published: 12 April 2018
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2018, Vol. 39 
