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- W2335006228 abstract "This paper describes the intelligent visual evaluation system for mirror finished surfaces of heat treated steel using a neural network. The automated evaluation system for mirror finished surfaces by an image processing has almost not been reported in the past, because of the complexity of image processing. If the features of image processing data are recognized by a vision system and a neural network, the degree of surface roughness and/or kinds of finishing methods will be clarified in relation to the image data of surfaces, and also the surface integrity of mirror finished surfaces will be clarified by the correlation analyses between the features of image processing data of surfaces. The objectives of the paper are to analyze the surface image of mirror finished surfaces using texture analyses, and to construct the neural network system which is able to evaluate the surface roughness and kinds of finishing methods. It is found that the features of image data of mirror finished surfaces can be decided by texture analyses. As the results, it is possible to construct the neural network system which is composed of the features of surface image as input data and the degree of surface roughness and/or kinds of finishing methods as output data." @default.
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- W2335006228 date "1997-01-01" @default.
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- W2335006228 title "Intelligent Visual Evaluation System for Mirror Finished Surfaces." @default.
- W2335006228 doi "https://doi.org/10.2493/jjspe.63.208" @default.
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