Share Email Print

Proceedings Paper

Feature recognition of metal salt spray corrosion based on color spaces statistics analysis
Author(s): Zhi Zou; Liqun Ma; Qiuqin Fan; Xiaochuan Gan; Lei Qiao
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 19 September 2017
PDF: 8 pages
Proc. SPIE 10396, Applications of Digital Image Processing XL, 103962Q (19 September 2017); doi: 10.1117/12.2273851
Show Author Affiliations
Zhi Zou, Chang Cheng Institute of Metrology & Measurement (China)
Liqun Ma, Chang Cheng Institute of Metrology & Measurement (China)
Qiuqin Fan, Qing’An Co. Ltd. (China)
Xiaochuan Gan, Chang Cheng Institute of Metrology & Measurement (China)
Lei Qiao, Chang Cheng Institute of Metrology & Measurement (China)

Published in SPIE Proceedings Vol. 10396:
Applications of Digital Image Processing XL
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?