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Research on B-ultrasonic Image Recognition of Breast Tumor Based on Wavelet Transformation

GUO Ling-yun1,2,YANG Chang-xing1(1.College of Information Science and Engineering,Central South University,Changsha 410083,China;2.YongZhou Vocational-Technical College,Yongzhou 425006,China)  
In this paper,we decompose the B-ultrasonic images of normal breast and distempered breast by using the theory of wavelet transformation,then carry on wavelet de-noising processing and wavelet feature extraction,and at last statistically analyze the feature parameter of the image though the methods of Artificial neural network so as to get the differences of the two kinds of B-ultrasonic images,from which we can know which images is abnormal.Experimental results show that this method is more accurate than the doctors' experience judgement.Conclusion: By using the method of Wavelet Transformation,feature parameter extracted from Image Segmentation and image de-noising can distinguish the two kinds of images efficiently.Doctors' diagnosis which is made according to the quantized feature parameter can improve accuracy rate of clinical diagnosis of Breast Tumor.
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