Abstract
To solve the problem of artificial accurate detection of the coating material corroded defects and making accurate ratings automatically, this paper presents a method based on computer vision. To get the information of material corroded defects, the improved watershed segmentation method is used to eliminate over-segmentation. And for the processed image information, the parameter will be measured, and with the use of computer query technology, the information of the material corroded defects will be searched and contrasted to reach the function of machine rating.
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Ji, G., Zhu, Y., Zhang, Y. (2012). The Corroded Defect Rating System of Coating Material Based on Computer Vision. In: Pan, Z., Cheok, A.D., Müller, W., Chang, M., Zhang, M. (eds) Transactions on Edutainment VIII. Lecture Notes in Computer Science, vol 7220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31439-1_19
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DOI: https://doi.org/10.1007/978-3-642-31439-1_19
Publisher Name: Springer, Berlin, Heidelberg
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