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《Laser & Infrared》 2017-01
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Infrared image enhancement of rail crack based on improved top-hat and bottom-hat transformation

GU Gui-mei;LIU li;School of Automation and Electrical Engineering,Lanzhou Jiaotong University;  
As the infrared image of rail crack has low contrast,low signal-noise ratio,fuzzy texture detail and is difficult to enhance the target region,an infrared image enhancement optimization algorithm of rail crack based on the multi-scale top-hat and bottom-hat transformation is proposed.First,an improved top-hat transform is used to extract multi-scale bright image regions,and multi-scale dim image regions is extracted using an improved bottom-hat transform; then the bright and dark areas of the image are established through the maximum value extracted from the multi-scale bright and dim image regions; finally,image enhancement is realized through weighted processing.Experimental results indicate that the proposed algorithm can suppress the noise and highlight image edge of the target,meanwhile effectively improve the image contrast,which lays a necessary foundation for the further image processing.
【Fund】: 甘肃省科技计划项目(1508KJZA059)资助
【CateGory Index】: TP391.41
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