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J-GLOBAL ID:201402211493820047   Reference number:14A0957429

A Method Using CA-Based Pixel-Level Snakes for Multiple-Contour Expansion

複数輪郭拡大に対するCAベースピクセルレベルスネークを使用した方法
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Volume: 18  Issue:Page: 221-224 (J-STAGE)  Publication year: 2014 
JST Material Number: U0425A  ISSN: 1880-1013  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: ENGLISH (EN)
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Graphic and image processing in general 
Reference (8):
  • [1] M. Kass, A. Witkin and D. Terzopoulos: Snakes: Active contour models, International Journal of Computer Vision, Vol. 1, pp. 321-331, 1988.
  • [2] D. Vilariño, D. Cabello, A. Mosquera and J. Pardo: Application of a multilayer discrete-time CNN to deformable models, in Biological and Artificial Computation: From Neuroscience to Technology, Lecture Notes in Computer Science, J. Mira, R. Moreno-Díaz and J. Cabestany, Eds., Springer Berlin Heidelberg, Vol. 1240, pp. 1193-1202, 1997.
  • [3] D. Vilarino, D. Cabello, X. Pardo and V. Brea: Cellular neural networks and active contours: A tool for image segmentation, Image and Vision Computing, Vol. 21, No. 2, pp. 189 - 204, 2003.
  • [4] D. Vilarino and C. Rekeczky: Implementation of a pixel-level snake algorithm on a CNNUM-based chip set architecture, IEEE Trans. Circuits and Systems I, Vol. 51, No. 5, pp. 885 - 891, 2004.
  • [5] D. L. Vilariño and C. Rekeczky: Pixel-level snakes on the CNNUM: Algorithm design, on-chip implementation and applications, Int. J. Circuit Theory Appl., Vol. 33, No. 1, pp. 17-51, 2005.
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