灰度-梯度共生矩阵纹理分析方法
Gray Level-Gradient Cooccurrence Matrix Texture Analysis Method
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摘要: 本文提出用灰度-梯度共生矩阵模型对图象的纹理进行分析和鉴别.由此模型计算出十 五个纹理参数.在482个五类白血球样本上用这些纹理参数分类的识别率为77.8%.Abstract: In this paper a gray level-gradient cooccurrence matrix model is presented for the texture analysis and discrimination of an image. And 15 texture parameters are calculated by using this model for each image. The success rate is 77.8 percent by using these texture parameters on a set of 482 samples for classifying five types of white blood cell,
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