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J-GLOBAL ID:201502256397877020   Reference number:15A0194488

Unsupervised Texture Image Segmentation by using GMRF Models from Wavelet Frame Decomposition

ウェーブレットフレーム分解におけるGMRFモデルを用いたテクスチャ画像の教師なし領域分割
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Volume: 68  Issue:Page: J306-J315 (J-STAGE)  Publication year: 2014 
JST Material Number: U0261A  ISSN: 1881-6908  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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All keywords is available on JDreamIII(charged).
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Graphic and image processing in general 
Reference (12):
  • 1) R. Dey, P. K. Nanda, and S. Panda: “Constrained Markov Random Field Model for Color and Texture Image Segmentation”, Proc. of the 2008 Int. Conf. on Signal Processing, Communications and Networking, pp.317-322 (2008)
  • 2) 内山俊郎,武川直樹,中村太一,金子博:“一様範囲の推定を用いたテクスチャ画像の領域分割”, 信学論D-II,J83-D-II,6,pp.1446-1459 (2000)
  • 3) M. Goktepe, V. Atalay, N. Yalabik, and C. Yalabik: “Unsupervised Texture Based Image Segmentation by Simulated Annealing using Markov Random Filed and Potts Model”, Proc. of the 14th Int. Conf. on Pattern Recognition, pp.820-822 (1998)
  • 4) B. S. Manjunath and R. Chellappa: “Unsupervised Texture Segmentation using Markov Random Filed Models”, IEEE Trans. on Patt. Anal. Machine Intell., 13, 5, pp.478-482 (1991)
  • 5) S. Janarthanam, M. Ramalingam, and P. Narendran: “Texture Analysis on Low Resolution Images using Unsupervised Segmentation Algorithm with Multichannel Local Frequency Analysis”, Proc. of the 2010 Int. Conf. on Communication and Computational Intelligence, pp.260-265 (2010)
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