Multi-fractal Techniques for Emphysema Classification in Lung Tissue Images

نویسندگان

  • Musibau Ibrahim
  • Ramakrishnan Mukundan
چکیده

This paper presents a multi-fractal based approach for the classification of emphysema patterns by calculating the local singularity coefficients of an image using different intensity measures. One of the primary statistical measures of self-similarity used in the processing of tissue images is holder exponent (αvalue) that represents the power law which the intensity distribution satisfies in local pixel neighbourhoods. The fractal dimension corresponding to each α-value gives a multi-fractal spectrum f(α) that could be used as a feature descriptor for classification. Experimental results show that multi-fractal spectrum could be effectively used for the classification of histopathological cases. Some important implementation aspects of the multi-fractal based classification scheme that could be used for improving classification accuracy are also discussed.

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تاریخ انتشار 2014