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| Image feature and fractal on roll surface morphology in wear process |
| LI Li-xin，HUANG Ying-gang，ZHANG Kui，Lü Xiao-yuan，LI Bin，WU Xiao-dong |
| （College of Material Science and Metallurgical Engineering， Wuhan University of Science and Technology， Wuhan 430081， Hubei， China） |
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Abstract The surface morphology of roll is directly related to the strip products’ surface quality and even the texture component. Quantitative monitoring of the morphological changes in the wear process of roll was researched in this study. Based on the MATLAB tool，the method of image processing was used to make pretreatment of roll surface morphology in different stages，and the study got 17 dimensional features of geometry，texture characteristics and fractal dimension. BP neural network model using to recognize the roll wear states was also established after parameters simplification. The results show that the image features， such as equal-area-cirde radius，circularity，texture entropy and second-order moment，and fractal dimension can be used as quantitative parameters to describe the surface morphology of roll. It’s also useful to use BP network model to recognize and judge surface morphology of roll wear. This study will supply a new approach to establish the quantitative evaluation system for the wear morphology of roll.
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Received: 06 August 2014
Published: 13 April 2015
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2015, Vol. 50 
