基于信号多尺度边缘表示的CT医学图像增强

被引:8
作者
刘炜
孙丰荣
梅良模
机构
[1] 山东大学信息科学与工程学院
关键词
图像增强; 二进小波变换; 多尺度边缘表示; CT;
D O I
暂无
中图分类号
TP391.41 [];
学科分类号
080203 ;
摘要
基于信号的多尺度边缘表示理论框架,提出了一种CT医学图像增强算法。较之传统的窗位2窗宽CT医学图像增强技术,该算法具有自适应的特点,以及更好地满足CT医学图像放射科临床检查应用需求的性能。临床实验结果表明,该算法在CT医学图像增强领域有着良好的应用前景和实用价值,是一种新的CT医学图像增强方法。
引用
收藏
页码:207 / 212
页数:6
相关论文
共 12 条
[1]  
Unsharp masking and related image enhancement techniques. Levi L. Computer Graphics . 1974
[2]  
D igital image enhancem ent and noise filtering by use of localstatistics. Lee J S. IEEE Transactions on Pattern Analysis and Mach ineIntelligence . 1980
[3]  
Wavelets for contrast enhancement to digital mammography. Laine A,Fan J,Yang W. IEEE Engineering in Medicine and Biology Magazine . 1995
[4]  
DigitalImageProcessing. GonzalesRC,WintzPA. . 1987
[5]  
A computational approach to edge detection. Canny J. IEEE Transactions on Pattern Analysis and Machine Intelligence . 1986
[6]  
CT image enhancement with wavelet analysis for the detection of small airways disease. Yang G Z,Hansell D M. IEEE Transactions on Medical Image . 1997
[7]  
Characterization of signals from multi scale edges. Mallat S G,Zhong S. IEEE Transactions on Pattern Analysis and Machine Intelligence . 1992
[8]  
Thediscretewavelettransform:weddingthe%TrousandMallatalgorithms. ShensaMJ. IEEETransactionsonSignalProcessing . 1992
[9]  
Zero2crossingsofawavelettransform. MallatSG. IEEETransactionsonInformationTheory . 1991
[10]  
Contrastenhancementbymultiscaleadaptivehistogramequalization. JinYP,FayadLM,LaineAF. WaveletsApplicationsinSignalandImageProcessingⅨ . 2001