中国组织工程研究

中国组织工程研究 ›› 2011, Vol. 15 ›› Issue (48): 9031-9034.doi: 10.3969/j.issn.1673-8225.2011.48.025

• 骨与关节图像与影像 bone and joint imaging • 上一篇    下一篇

基于同态滤波与直方图均衡化的超声图像增强

刘燕君，刘  奇   

  1. 四川大学电气信息学院医学信息工程系，四川省成都市  610065
  • 收稿日期:2011-05-04 修回日期:2011-10-14 出版日期:2011-11-26 发布日期:2011-11-26
  • 通讯作者: 刘奇，博士，副教授，硕士生导师，四川大学电气信息学院医学信息工程系，四川省成都市 610065 liuqii@scu.edu.cn
  • 作者简介:刘燕君★，女，1988年生，四川省眉山市人，汉族，四川大学在读硕士，主要从事医学图像与信号处理的研究。 Liuyanjun9999@163.com

Ultrasound image enhancement based on homomorphic filter and histogram equalization

Liu Yan-jun, Liu Qi   

  1. Department of Medical Information Engineering, Electrical Engineering & Information School of Sichuan University, Chengdu  610065, Sichuan Province, China
  • Received:2011-05-04 Revised:2011-10-14 Online:2011-11-26 Published:2011-11-26
  • Contact: Liu Qi, Doctor, Associate professor, Master’s supervisor, Department of Medical Information Engineering, Electrical Engineering & Information School of Sichuan University, Chengdu 610065, Sichuan Province, China liuqii@scu.edu.cn
  • About author:Liu Yan-jun★, Studying for master’s degree, Department of Medical Information Engineering, Electrical Engineering & Information School of Sichuan University, Chengdu 610065, Sichuan Province, China Liuyanjun9999@163.com

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1065

被引次数

16

摘要：

背景：同态滤波与直方图均衡化都能单独对图像进行增强处理，但各自还有许多不足之处。
目的：观察将同态滤波与直方图均衡化结合使用对增强图像的效果，减少单独使用这两种方法产生的缺点。
方法：在频域内，首先对超声图像分别进行高通同态滤波和低通同态滤波的分频处理；再将得到的两幅滤波图像线性组合；最后再对该组合图像进行全局的直方图均衡化得到最终的增强超声图像。
结果与结论：实验结果表明，超声图像经过上述方法的处理，边界十分突出明显，且整体视觉效果更明亮清晰。通过分析对比得到的均方根误差和信噪比数据，也证实了实验所用的超声图像增强法是十分切实有效的。

关键词: 图像增强, 同态滤波, 直方图均衡化, 高斯滤波器, 超声图像, 分频处理

Abstract:

BACKGROUND: Homomorphic filter and histogram equalization can enhance the image, but they still have many disadvantages.
OBJECTIVE: To observe the effects of homomorphic filtering and histogram equalization on image enhancement in order to reduce the shortcomings of the two methods individually.
METHOS: In frequency domain, firstly, ultrasound images were processed separately by using high pass homomorphic filter and low pass homomorphic filter. Two filtered images after linear combination were processed with global histogram equalization. Then the final enhancement supersonic images were obtained.
RESULTS AND CONCLUTION: The boundary of ultrasound images was very prominent and evident, and the overall visual effect was more bright and clear. Root mean square error and signal to noise ratio data were obtained by analysis and comparison, which confirmed the methods of ultrasound image enhancement in this article are very effective.

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