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Abstract : |
In the production of high speed steel, the rolling affects the micro-structure of the steel, which in turn influences the mechanical properties. Specifically, the distribution of carbide is essential, since cracks propagate within the carbide agglomerations. In current quality control, the properties of the steel are assessed manually by comparison with a standard chart, containing representative patterns for each steel class. Interestingly, the standard technique for classifying carbide distributions is two-dimensional, where the first dimension basically corresponds to scale ("degree "--- the size of the largest carbide agglomeration) and the the second dimension basically reflects the directional distribution ("type"--- how strongly the net structure of carbide has been stretched). In this paper, we present an automatic method for such classification based on scale-space operations, in which the size information is measured using recently developed techniques for feature detection with automatic scale selection and the directional information is computed from secondmoment, |
