期刊文献+

基于相似度的图像变形效果的客观度量方法

Evaluation of Objective Effect Image Morphing Based on Similarity
下载PDF
导出
摘要 给出了评价图像变形效果的新方法.首先,计算中间帧之间的相似度,由这些相似度值生成一条曲线;然后,在图像计算机动画领域首次提出图像变形真实感度的概念.它通过计算曲线与坐标轴,曲线插值点处的曲率和其他一些衡量标准得到.试验表明,它是一有效的度量图像变形效果的客观方法. A novel method to evaluate image morphing reality is presented in this paper. First of all, similarity values among a series of frames of image morphing are calculated. Then they are interpolated to be a curve. Finally, image morphing reality degree (IMRD)is defined for the first time in the research field of image morphing by computing the area between the curve and one coordinate axis, curvatures of the curve at different points, and so on. Experimental results show IMRD is an effective method to evaluate objective effect of image morphing.
作者 范自柱
出处 《华东交通大学学报》 2006年第2期161-163,共3页 Journal of East China Jiaotong University
基金 华东交通大学科研基金项目
关键词 图像变形 图像变形真实感度 相似度 image morphing image morphing reality degree(IMRD) similarity
  • 相关文献

参考文献7

  • 1Wolberg G Digital image warping.IEEE Computer Society Press,Los Alamitos,Calif (1990)
  • 2Beier T,Neely S.Feature-based image metamorphosis[J].Computer Graphics,1992,26(2):35-42.
  • 3Seitz SM,Dyer CR View morphing[J].(Proceedings of SIGGRAP'96) Comput Graph,pp 21-30.
  • 4Lee S,Chwa K-Y,Hahn J,Shin SY Image morphing using deformation techniques[J].J Visualization Comput Anim (1996)7:3-23
  • 5George Wolberg.Image morphing:a survey[J].The Visual Computer(1998) 14:360-372.
  • 6王涛,胡事民,孙家广.基于颜色-空间特征的图像检索[J].软件学报,2002,13(10):2031-2036. 被引量:92
  • 7Marc Alexa,Daniel Cohen-Or,David Levin[J].As-Rigid-As-Possible Shape Interpolation Proc.SIGGRAPH 2000,pp.157-164.

二级参考文献11

  • 1边肇祺.模式识别[M].北京:清华大学出版社,1986..
  • 2Swain, M.J., Ballard, D.H. Color indexing. International Journal of Comput er Vision, 1991,7(1):11~32.
  • 3Stricker,M., Orengo, M. Similarity of color images. In: Niblack, W.R., Rce ds, J., eds. Proceedings of the SPIE2420, Storage and Retrieval for Image and Vi deo DatabaseIII. San Jose, CA: SPIE, 1995. 381~392.
  • 4Androutsos, D.A. Novel vector-based approach to color image retrieval usin g a vector angular-based distance measure. Computer Vision and Image Understandi ng, 1999,75(1/2):46~58.
  • 5Pass, G., Zabih, R. Histogram refinement for content-based image retrieval . In: Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (W ACV'96). Sarasota: IEEE Computer Society, 1996. 96~102.
  • 6Huang, J. Image indexing using color correlograms. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Juan: IEEE Computer Society, 1997. 762~768.
  • 7Messer, K., Kittler, J. A region based image database system using color a nd texture. Pattern Recognition Letters 1999,20: 1323~1330.
  • 8Kam, A.H., Content based image retrieval through object extraction and que rying. In: Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries. Hilton Head Island: IEEE Computer Society, 2000. 91~95.
  • 9Pavlidis, T., Liow, Y.T. Integrating region growing and edge detection. I EEE Transactions on Pattern Analysis and Machine Intelligence, 1990,12(3):225~13 3.
  • 10Leu, J.G. Computing a shape moments from its boundary. Pattern Recognitio n, 1991,24(10):949~957.

共引文献91

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