METALLOGRAPHIC IMAGE RECOGNITION BASED ON WAVELET DECOMPOSITION AND FRACTAL THEORY
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Abstract
A method of metallographic image recognition based on wavelet decomposition and fractal theory was presented. The aim of the method was to solve the difficulty problem of metallographic image,in which objects were hardly isolate. After a tree-structured wavelet transform was employed,the features of texture,which were composed of fractal dimensions and relative dimensions,were extracted from the each frequency channel of wavelet transform output. the experiment of recognizing metallographic had been done and the result was satisfactory,which verified the effect of the method.
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