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Journal of Shanghai University（Natural Science Edition） ›› 2012, Vol. 18 ›› Issue (3): 240-245.doi: 10.3969/j.issn.1007-2861.2012.03.005

• Communication and Information • Previous Articles     Next Articles

Extraction of Texture Features of Breast Tumor Based on  Fractional Fourier Transform

ZHONG Jin1,SHI Jun1,ZHOU Shi-chong2,HU Wen-jie1   

  1. (1. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China;
    2. Department of Ultrasound, Cancer Hospital of Fudan University, Shanghai 200032, China)
  • Online:2012-06-30 Published:2012-06-30

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Abstract: Fractional Fourier transform (FrFT) is a generalized form of the traditional Fourier transform, which includes information of both the time domain and the frequency domain. FrFT is used to extract phasebased features of breast tumor from ultrasound images. These features are used as input to the AdaBoost algorithm to distinguish benign tumors from malignant tumors. Experimental results indicate that the texture features extracted with the proposed FrFTbased algorithm can well classify breast tumor, and can be used in computeraided breast diagnosis.

Key words: AdaBoost, breast tumor, fractional Fourier transform (FrFT), texture feature, ultrasound image

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