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基于小波包变换和蚁群算法的纹理分类 被引量:3

Texture classification based on wavelet packet transform and ant colony algorithm
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摘要 提出了一种小波包变换和蚁群算法相结合的纹理分类新方法。首先采用小波包变换提取纹理图像的纹理特征向量,然后用蚁群算法进行训练和分类。实验表明小波包变换和蚁群算法应用到纹理分类领域,是一次有效的尝试。 A new texture classification method which combining wavelet packet transform and ant colony algorithm is proposed.At first,image’s texture feature is extracted using wavelet packet transform,and then ant colony algorithm is used for training and classification.Experiments show that it is an effective attempt which wavelet packet transform and ant colony algorithm are applied to texture classification.
出处 《计算机工程与应用》 CSCD 北大核心 2009年第28期202-204,共3页 Computer Engineering and Applications
基金 湖南省自然科学基金No09JJ3120 湖南省教育厅科学研究项目No07C083 No08A001~~
关键词 纹理分类 小波包变换 蚁群算法 特征提取 texture classification wavelet packet transform ant colony algorithm feature extraction
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参考文献7

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二级参考文献3

  • 1Marco Dorigo,Gianni Di Caro,Luca M Gambardella.Ant Algorithms for Discrete Optimization[C].In:Proceedings of the Congress on Evolutionary Computation,http://citeseer.nj.nec.com/cachedpage/ 420280,1999
  • 2Hua Liu.Restoration of distorted digital images and similarity measure between images[EB/OL].http://citeseer.nj.nec.com,1999
  • 3杨欣斌,孙京诰,黄道.一种进化聚类学习新方法[J].计算机工程与应用,2003,39(15):60-62. 被引量:43

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