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Fatty liver B-scan image recognition method based on multi-grade gray level difference

WANG Da-xi1.2,FANG Yuan1+,HU Bo1,CAO Han-qiang2(1.Department of Electronics Information and Control Engineering,Guangxi University of Technology, Liuzhou 545006,China;2.Department of Electronics and Information Engineering,Huazhong University of Science and Technology,Wuhan 430074,China)  
A novel method for fatty liver B-scan image recognition with multi-grade gray level difference is proposed.First a trapeziform area is extracted from B-scan image.And then the trapeziform area is divided into n×m regular trapeziform areas.After computed every small areas average gray level,the multi-grade gray level difference axis matrix is gained from near area to far area.Finally the image is recognized with neural network based on multi-grade gray level difference.The experiment shows that new method gets a good effect in fatty liver B-scan images recognition.
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