| 基于Contourlet特征修正的纹理图像识别算法 |
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| 引用本文： | 尚政国,赵春晖,刘金梅.基于Contourlet特征修正的纹理图像识别算法[J].计算机工程,2008,34(23):20-22. |
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| 作者姓名： | 尚政国 赵春晖 刘金梅 |
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| 作者单位： | 哈尔滨工程大学信息与通信工程学院,哈尔滨,150001 |
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| 基金项目： | 国家自然科学基金资助项目，高等学校博士学科点基金资助项目，黑龙江省自然科学基金资助项目 |
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| 摘 要： | 提出一种基于Contourlet特征修正的纹理识别算法，不同分辨率下采取不同的方法提取特征，根据统计规律对每个方向上的纹理特征进行修正增强，利用支持向量机进行识别，以提高纹理图像识别的准确性。实验证明，在受噪声干扰严重的情况下，该方法的识别正确率优于小波、小波包、Ridgelet等算法。
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| 关 键 词： | Contourlet变换 特征修正 纹理识别 支持向量机 多分辨率处理 |
| 修稿时间： | |
Texture Image Recognition Algorithm Based on Contourlet Characteristic Modification |
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| SHANG Zheng-guo,ZHAO Chun-hui,LIU Jin-mei.Texture Image Recognition Algorithm Based on Contourlet Characteristic Modification[J].Computer Engineering,2008,34(23):20-22. |
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| Authors: | SHANG Zheng-guo ZHAO Chun-hui LIU Jin-mei |
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| Affiliation: | (College of Information & Communication Engineering, Harbin Engineering University, Harbin 150001) |
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| Abstract: | This paper proposes an algorithm based on Contourlet characteristic modification, which extracts the characteristics in different resolution with different methods, adjusts them by statistical analysis, and deals with the feature vectors by Support Vector Machines(SVM). Compared with the existing transforms including Ridgelet, Wavelet and Wavelet package, the method consistently yields the best overall performance in recognition veracity rate, especially when the images are interfered by intensive noise. |
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| Keywords: | Contourlet transform characteristic modification texture recognition Support Vector Machines(SVM) multi-resolution processing |
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