19 September 2017 Feature recognition of metal salt spray corrosion based on color spaces statistics analysis
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Abstract
The article proposed a method to quantify corrosion characteristics of high strength alloy steel samples using digital image processing technique in color spaces. The distribution histograms in different channels of different spaces in corrosion images are plotted and analyzed. Select the proper color channel to extract the corrosion characteristics among three different spaces of RGB space, HSV space, YCbCr space. Combined the theory of corrosion generation, the data of color channels is processed and the feature of metal material salt spray corrosion is recognized. Through processing several sample color images of alloy steel, it is proved that the feature extracted by this procedure has better accuracy and the corrosion degree is quantifiable and the precision of discriminating the corrosion is improved.
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Zhi Zou, Zhi Zou, Liqun Ma, Liqun Ma, Qiuqin Fan, Qiuqin Fan, Xiaochuan Gan, Xiaochuan Gan, Lei Qiao, Lei Qiao, } "Feature recognition of metal salt spray corrosion based on color spaces statistics analysis", Proc. SPIE 10396, Applications of Digital Image Processing XL, 103962Q (19 September 2017); doi: 10.1117/12.2273851; https://doi.org/10.1117/12.2273851
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