Graph Cuts Segmentation by Using Local Texture Features of Multiresolution Analysis

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概要

• 論文の詳細を見る

• This paper proposes an approach to image segmentation using Iterated Graph Cuts based on local texture features of wavelet coefficients. Using Haar Wavelet based Multiresolution Analysis, the low-frequency range (smoothed image) is used for the n-link and the high-frequency range (local texture features) is used for the t-link along with the color histogram. The proposed method can segment an object region having not only noisy edges and colors similar to the background, but also heavy texture change. Experimental results illustrate the validity of our method.

• （社）電子情報通信学会の論文
• 2009-07-01

著者

• Ariki Yasuo

  Organization Of Advanced Science And Technology Kobe University

• FUKUDA Keita

  Graduate School of Engineering, Kobe University

• TAKIGUCHI Tetsuya

  Organization of Advanced Science and Technology, Kobe University

• Fukuda Keita

  Graduate School Of Engineering Kobe University

• Takiguchi Tetsuya

  Organization Of Advanced Science And Technology Kobe University

関連論文

• Graph Cuts Segmentation by Using Local Texture Features of Multiresolution Analysis

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