電気学会論文誌C(電子・情報・システム部門誌)
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
<音声画像処理・認識>
幾何的変形及び照度変化にロバストなテクスチャ特徴抽出方法
高尾 典佑劉 琢和田 成夫
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ジャーナル 認証あり

2009 年 129 巻 5 号 p. 985-992

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In this paper, we propose a robust feature extraction method for texture image retrieval, and verify the effectiveness. In this method, the original image is transformed to log-polar autocorrelation image. The log-polar image is decomposed by discreet wavelet transform to obtain the approximation images. We extract the edge component from the approximation image by sobel filter processing, and we use higher order local autocorrelation as feature vector. Using this method to texture image, we obtain the robust feature for geometrical (shift, rotation, scale) and illumination distortions.
In order to show the effectiveness of this method, we estimated the similarity between images by using the feature vector. According to the result of computer simulation, we verified the higher retrieval rate to geometrical and illumination distorted images than the conventional approaches.

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© 電気学会 2009
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