Classification of Planar Curve Using the Zero-Crossings Representation of Wavelet Transform

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概要

• 論文の詳細を見る

• A method of planar curve classification, which is invariant to rotation, scaling and translation using the zero-crossings representation of wavelet transform was introduced. The description of the object is represented by taking a ratio between its two adjacent boundary points so it is invariant to object rotation, translation and size. Transforming this signal to zero-crossings representation using wavelet transform, the minimum distance between the object and model while shifting the signals each other, can be used as classification parameter.

• 社団法人電子情報通信学会の論文
• 1997-04-25

著者

• Hamada Nozomu

  Faculty Of Science And Technology Keio University

• SUDIANA Dodi

  Faculty of Science and Technology, Keio University

• Sudiana Dodi

  Faculty Of Science And Technology Keio University

関連論文

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