期刊文献+

基于AVI格式的全方向M型心动图增强研究

The Research on Image Enhance of Omnidirectional M-mode Echocardiography Based on AVI Format
下载PDF
导出
摘要 为了图像质量更好,基于AVI的全方向M型心动图,针对其特点进行了图像增强的研究,提出了一种特殊的利用熵选取多阈值的算法,实现了图像的多阈值分割,效果令人满意,在扩展图像的对比度、增强轮廓边缘的同时对噪声进行了有效的控制。经过实验,这种算法对心动图具有一定鲁棒性。 Based on the omni-directional M-mode echocardiography from AVI system, and according to the rebuilding principles, this paper makes some image enhance research and presents a multl-threshold entropy algorithm. The result is satisfied that the e- chocardiography is disturbed by serious noise and segmented effectively under the proper crossover rate, and carry on effective restrain to the noise while expanding the contrast ratio and strengthening the edge. It is universally applied for Omnidirectional M-mode E-chocardiography.
作者 陈盈 林强
出处 《山西电子技术》 2009年第1期3-4,55,共3页 Shanxi Electronic Technology
基金 卫生部科学研究基金-福建省卫生教育联合公关计划资助项目(WKJ2005-2-010)
关键词 AVI格式 M型心动图 多阈值分割 AVI format omnidirectional m-mode echocardiography entropy, multi-thresholding segmentation
  • 相关文献

参考文献2

二级参考文献6

  • 1林强.心脏B超轮廓光流场的一种检测方法[J].电子学报,1996,24(4):122-125. 被引量:13
  • 2林强,田桂兰.聚类匹配法光流检测中共同运动匹配策略的研究[J].电子学报,1997,25(1):58-61. 被引量:4
  • 3[1]N R Pal,S K Pal. Entropy thresholding[J].Signal Process, 1989; 16:97~ 108
  • 4[2]A D Brink. Gray-level Thresholding of images using a correlection criterion[J].Pattern Recognition Lett,1989;9:335~341
  • 5[3]A S Abutaleb. Automatic thresholding of gray-level picture using twodimension entropy[J].Computer Vision Graphics Image Process,1989;47:22~32
  • 61,Vikram Chalana, David T.Linker, David R.Haynor and Yongmin Kim. A Multiple Active Contour Model for Cardiac Boundary Detection on Echocardiographic Sequences. IEEE Trans. On medical Imaging, 1996,15: 290~298.

共引文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部