Removal of specular reflections in tooth color image by perceptron neural nets
ICSPS), 2010 2nd International Conference（2010）
摘要
This study presents the removal algorithm of specular reflections in a tooth color image to eliminate the specularities which degrades the performance of color image segmentation algorithms. Our proposed methodology includes two tasks: (i) automated detection of specular reflections by Perceptron neural nets and (ii) recursive corrections of the specularities by applying a smoothing spatial filter on the target pixels (specular regions) based on the decision of Perceptron.
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关键词
dentistry,image colour analysis,image segmentation,image sequences,perceptrons,color image segmentation algorithms,perceptron neural nets,removal algorithm,smoothing spatial filter,specular reflections,tooth color image,Perceptron neural nets,Specular reflections,Tooth Color Image,
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