| 应用Krawtchouk矩和支持向量机的图像纹理分割 |
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| 引用本文： | 吴柯,舒华忠.应用Krawtchouk矩和支持向量机的图像纹理分割[J].应用科学学报,2008,26(5):521. |
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| 作者姓名： | 吴柯 舒华忠 |
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| 作者单位： | 东南大学 影像科学与技术实验室，江苏 南京 210096 |
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| 摘 要： | 提出一种基于Krawtchouk矩和支持向量机的图像纹理分割方法.对图像的每个像素，选择一个窗口，计算该窗口内的Krawtchouk矩，然后通过非线性变换将得到的矩值转换成纹理特征，对特征空间进行优化后，使用支持向量机进行纹理分割.和基于Zernike矩的纹理分割结果相比，本文的方法能得到更好的纹理分割结果.
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| 关 键 词： | Krawtchouk矩 支持向量机 纹理分割 纹理分析 图像分析 图像分割 |
| 收稿时间： | 2008-05-04 |
| 修稿时间： | 2008-07-02 |
Image Texture Segmentation Based on Krawtchouk Moment and SVM |
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| WU Ke,SHU Hua-zhong.Image Texture Segmentation Based on Krawtchouk Moment and SVM[J].Journal of Applied Sciences,2008,26(5):521. |
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| Authors: | WU Ke SHU Hua-zhong |
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| Institution: | Laboratory of Image Science and Technology, Southeast University, Nanjing 210096, China |
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| Abstract: | A new image texture segmentation method is presented based on the Krawtchouk moments and support vector machine (SVM). The Krawtchouk moments in small local windows of each pixel in the image are computed and a nonlinear transducer is used to map the moments to texture features. The feature vector is then input to SVM for classification. Compared with the segmentation results based on the Zernike moment, the proposed method can produce better results. |
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| Keywords: | Krawtchouk moment SVM image segmentation texture segmentation texture analysis image analysis |
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