A De-noising Algorithm of Medical Ultrasonic Image Based on Morphology and Wavelet Transform

摘要：

In view of the fact that VisuShrink threshold tends to overkill the detail coefficient and morphology can recognize the feature points of image, a de-noising algorithm of medical ultrasonic image based on morphology and wavelet transform is proposed. In the method, the high frequency coefficient which is less than the threshold is extracted by Hit-or-Miss Transform (HMT), and then the signal and noise are processed by improved threshold method. The experiment results show that the speckle noises are removed efficiently and the detail information is better reserved, farther more, the whole visual effect is improved.

关键词： medical ultrasonic image wavelet transform morphology threshold hit-or-miss transform

作者: Shao-bo Wang Ye-cai Guo

作者单位: College of medical, Anhui University of Science and Technology, Huainan 232001, China College of Electronic and Information Engineering, Nanjing University of Information Science and Tec

会议类型: 国际会议

会议名称: 2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)

会议地点: 青岛

会议语种:英文

页码: 70-73

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）