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.
李立新，黄英钢，张 葵，吕肖元，李 彬，吴晓冬. 轧辊磨损过程中的形貌图像特征及分形[J]. 钢铁, 2015, 50(4): 95-101.
LI Li-xin，HUANG Ying-gang，ZHANG Kui，Lü Xiao-yuan，LI Bin，WU Xiao-dong. Image feature and fractal on roll surface morphology in wear process. Iron and Steel, 2015, 50(4): 95-101.
MolinariA, StraffeliniG, TomasiA, et al.Oxidation Behavior of Ledeburitic Steels for Hot Rolls[J].Materias Science and Engineering, 2000, 280(2):256-258
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MolinariA, StraffeliniG, TomasiA, et al.Oxidation Behavior of Ledeburitic Steels for Hot Rolls[J].Materias Science and Engineering, 2000, 280(2):256-258
2015, Vol. 50 
