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计算机工程 ›› 2011, Vol. 37 ›› Issue (22): 193-195. doi: 10.3969/j.issn.1000-3428.2011.22.064

• 图形图像处理 • 上一篇    下一篇

时变步长恒模医学CT图像盲均衡算法

孙云山 1,2,张立毅 1,2,段继忠 1   

  1. (1. 天津大学电子信息工程学院,天津 300072;2. 天津商业大学信息工程学院,天津 300134)
  • 收稿日期:2011-04-29 出版日期:2011-11-18 发布日期:2011-11-20
  • 作者简介:孙云山(1980-),男,讲师、博士研究生,主研方向:图像处理,恒模算法;张立毅,教授、博士生导师;段继忠,博士研究生
  • 基金资助:
    天津市高等学校科技发展基金资助项目(20060610);山西省自然科学基金资助项目(2011011015-3);山西省科技攻关计划基金资助项目(20090321020);天津商业大学青年科研培育基金资助项目

Blind Equalization Algorithm for Variable Step-size Constant Module Medical CT Image

SUN Yun-shan 1,2, ZHANG Li-yi 1,2, DUAN Ji-zhong 1   

  1. (1. School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China; 2. College of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China)
  • Received:2011-04-29 Online:2011-11-18 Published:2011-11-20

摘要: 提出一种基于误差信号峰度的自适应时变步长恒模医学CT图像盲均衡算法,通过降维处理将图像的恢复过程等效为一维盲均衡运算,构建行列等效变换的降维医学CT图像恒模盲均衡代价函数,利用误差信号峰度控制步长因子,加快算法的收敛速度。仿真结果表明,该算法能改善恢复效果,减小稳态剩余误差。

关键词: 盲均衡, 恒模算法, CT图像, 均方误差, 时变步长

Abstract: A novel adaptive variable step-size constant module medical CT image blind equalization algorithm is proposed. The process of image restoration transformed by a linear operation is equivalent to one dimensional blind equalization. The constant modulus blind equalization cost function applied to medical CT image is founded. The kurtosis of error signal is utilized as step-size control factor to speed up the convergence and improve the performance of the algorithm. Computer simulations show that the algorithm improves peak signal to noise ratio, restoration effects and efficiency of operations, decreases state residual error, and speeds up the convergence.

Key words: blind equalization, constant module algorithm, CT image, Mean Squared Error(MSE), variable step-size

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