| The medical B ultrasonic images are illegibility and naked eye is difficult to distinguish. At present, on the clinical, doctor diagnose fatty liver, according to experiences. Sometime,this kind of qualitative diagnosis method lead to misdiagnose, the computer assistance diagnosis became the direction of medicine development.With the development of medicine and computer , the medical images' quantification analysis became one method of the computer assistance diagnosis .Various types of quantity methods which the people had brought forward including the edge detection, the number of spot computation as well as the texture analysis method are summarized in this article. Contrast to all the methods, we discover that texture analysis is the most effective of all. The texture analysis used to liver images includes the statistical method, the wavelet analysis method as well as the fractal model. The statistical method and the wavelet multi-resolution analysis method research have obtained some effectivity, but the rate of accuracy is not high, only dividing the image into two kinds of the normal livers and the fatty livers. In clinical application, the fatty liver's pathological degree is needed to know, therefore, in this article, fractal method and the wavelet packet analysis method are used to research for the B ultrasonic liver images, dividing the image into three kinds of the normal liver, the mild fatty liver and the specific weight fatty liver.Finally, in order to be convenient for the clinical application, graph user interface used MATLAB has been designed .We extract roughness,energy features from 80 different pathology liver ultrasonic images .It find that when the wavelet packet method is used to extract features, the features ' value of the normal liver, the mild fatty liver and the specific weight fatty liver are different, and along with fatty liver degree aggravating, the value of features change regularly, so doctors can take these features to diagnose. |
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