Feature recognition of metal salt spray corrosion based on color spaces statistics analysis

Zhi Zou; Liqun Ma; Qiuqin Fan; Xiaochuan Gan; Lei Qiao

doi:10.1117/12.2273851

19 September 2017 Feature recognition of metal salt spray corrosion based on color spaces statistics analysis

Zhi Zou, Liqun Ma, Qiuqin Fan, Xiaochuan Gan, Lei Qiao

Proceedings Volume 10396, Applications of Digital Image Processing XL; 103962Q (2017) https://doi.org/10.1117/12.2273851
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

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.

Citation Download Citation

Zhi Zou, Liqun Ma, Qiuqin Fan, Xiaochuan Gan, and 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); https://doi.org/10.1117/12.2273851

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