期刊文献+

舌像轮廓提取的优化算法 被引量:5

An Optimization Algorithm on the Boundary Extraction of the Body of Tongue
下载PDF
导出
摘要 舌体轮廓正确分割是实现中医舌诊信息化的重要前提。本文从如何对舌像进行定位与分割入手,通过研究阈值方法或先验知识在舌体轮廓提取时存在的缺陷,设想了用直方图均衡化预处理采集到的图像,然后根据舌体的形状、位置信息,对得到的初始轮廓线进行几何修正,基本解决了嘴唇对初始轮廓线的影响。 The correct is premise to the information on diagnosis by the feature of tongue in TCM. This paper starts from position and segmentation of tongue image and assumes using histogram equilibrium to deal with collected image because of flaw of threshold algorithm and prior knowledge in the course of extraction of contour of tongue, and then amending initial contour of the body of tongue by a geometric method according to the prior knowledge about shape and position of the tongue, which overcomes the edge influence on lip.
出处 《微计算机信息》 北大核心 2008年第16期275-276,267,共3页 Control & Automation
基金 国家自然科学基金项目(60672018)
关键词 舌体分割 直方图均衡化 几何方法 SNAKE the Segmentation of the Body of Tongue Histogram Equilibrium Geometric Method Snake
  • 相关文献

参考文献8

  • 1Wenshu li, Changle Zhou, Zhifeng Zhang.The Segmentation of the body of Tongue Based on the Improved Snake Algorithm in Traditional Chinese Medicine ,Proceeding of the 5th word congress on intelligent control and automation, v 6, Jun 15-19 2004, Hangzhou, China ,p 5501-5505, EI:04388367668
  • 2Zuo Wangmeng, Wang Kuanquan,Zhang David.Zhang Hongzhi. Combination of polar edge detection and active contour model for automated tongue segmentation,Proceedings - Third International Conference on Image and Graphics,2004 .p 270-273
  • 3Bo Pang, Kuanquan Wang, David Zhang and Fengmiao Zheng, On Automated Tongue Image Segmentation in Chinese Medicine [J] 16th International Conference On Pattern Recognition, Aug. 2002,vol. 1:616-619.
  • 4C. Xu and J. L. Price.. Snakes, shapes, and gradient vector flow [J]IEEE Trans. On Image Processing, 1998, vol.7, no.3:359-360.
  • 5Chenyang Xu and Jerry L. Prince. Gradient Vector Flow'A New External Force for Snakes [J]IEEE Proc. Conf. On Comp. Vis. Patt. Recog (CVPR'97):66-71.
  • 6Xu C., J. L. Prince. "On the relationship between parametric and geometric active contours", in Proc. of the 34th asilomar Conference on Signals, Systems and Computers, 2000.10, pp.483-489.
  • 7张国忠,刘新,万乐.基于小波阈值的图像去噪方法研究[J].微计算机信息,2007,23(05X):267-268. 被引量:3
  • 8Miyaha M. Yasuhida Y. Mathematical transform of (R, G, B) color data to Munsell (H, S, V) color data [M].SPIE, 1001.1988: 650-675.

二级参考文献3

  • 1李卓,郭立红.快速图像处理中阈值选取方法的比较研究[J].微计算机信息,2006(03S):224-225. 被引量:56
  • 2Daubechies.Ⅰ.Ten lectures on wavelets[M].Philadelphia:SIAM,Philadelphia,PA,1992.
  • 3Grace Chang S,Yu Bin,Martin Vetterli.Adaptive wavelet thresholding for image denoising and compression[J].IEEE Trans.on Image Processing,2000.9.9:1532-1546.

共引文献2

同被引文献112

引证文献5

二级引证文献28

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