| 基于小波变换和蚁群算法的纹理分割 |
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| 引用本文： | 曹鹏,李峰,李春月.基于小波变换和蚁群算法的纹理分割[J].计算机工程与科学,2009,31(6). |
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| 作者姓名： | 曹鹏 李峰 李春月 |
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| 作者单位： | 长沙理工大学计算机与通信工程学院,湖南,长沙,410076 |
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| 基金项目： | 湖南省自然科学基金，湖南省教育厅科学研究项目 |
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| 摘 要： | 纹理分割是图像模式识别中的关键步骤,但直到现在仍然没有一种有效的方法能够解决。本文提出了一种新的基于小波变换和蚁群算法的纹理分割方法。该方法首先用小波变换提取图像不同频带的纹理特征,然后提出具有聚类能力的蚁群算法数学模型,并用这个模型来进行分割。实验结果表明,该方法是一种有效的纹理分割方法。
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| 关 键 词： | 纹理分割 小波变换 蚁群算法 特征提取 |
Texture Segmentation Based on Wavelet Transform and the Ant Colony Algorithm |
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| CAO Peng,LI Feng,LI Chun-yue.Texture Segmentation Based on Wavelet Transform and the Ant Colony Algorithm[J].Computer Engineering & Science,2009,31(6). |
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| Authors: | CAO Peng LI Feng LI Chun-yue |
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| Affiliation: | School of Computer and Communication Engineering;Changsha University of Science and Technology;Changsha 410076;China |
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| Abstract: | This paper presents a texture segmentation algorithm based on wavelet transform and the ant colony algorithm.Texture segmentation is a crucial step in the image pattern recognition.But until now,there is still no effective way of solution.The texture characteristics of different frequency bands are extracted with wavelet transform,and then a mathematical model of clustering ability based on the ant colony algorithm is proposed to segment texture images.The experimental results show the method is efficient. |
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| Keywords: | texture segmentation wavelet transform ant colony algorithm feature extraction |
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