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《Journal of Dongguan University of Technology》 2006-03
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Feature Extractor of Solitary Pulmonary Nodules Based on Fractal of Application

LUO Xiao-hua TAN Yong-ming HE Zhong-shi (Chongqing University, Chongqing 400044, China;Department of Electronics Engineering, Dongguan University of Technolog, Dongguan 523808, China;Chongqing Jangtong University, Chongqing 400073, China)  
Lobulation and Burr play a significant role in distinction between benign and malignant Solitary Pulmonary Nodules diagnosis. And benign and malignant lung nodules differ in lobulated and burr features. In this paper, features of malignant lung nodules are analyzed based on shape of fractal theory. And then Anisotropic Fractal is used to analyze and extract the texture features of lung nodules. This method can compute different dimensions in different directions. The experiment indicates that fractal features are effective in reflecting the texture and edge shape of lung nodules. Further more, more feature information can be gained from multifractal than Isotropic fractal. And this method can be applied to any texture and shape images.
【CateGory Index】: R318
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