| 一种基于高阶统计量的图像识别算法研究 |
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| 引用本文： | 李军宏,潘泉,程咏梅,崔培玲.一种基于高阶统计量的图像识别算法研究[J].系统工程与电子技术,2005,27(6):978-982. |
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| 作者姓名： | 李军宏 潘泉 程咏梅 崔培玲 |
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| 作者单位： | 西北工业大学自动控制系,陕西,西安,710072 |
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| 基金项目： | 国家自然科学基金资助课题(60372085) |
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| 摘 要： | 提出了一种基于图像高阶统计量的识别算法。利用Radon变换将图像数据变换到一维空间,通过计算投影数据的双谱构造出具有比例和平移不变性的特征。利用Rapid变换获得特征的旋转不变特性;接着,利用阈值分析的方法进行特征选择,获得了较原始特征更好的识别效果。针对特征向量过长的问题,利用主元分析进行长度压缩。与不同方法的实验比较表明,算法能够有效地用于图像识别。
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| 关 键 词： | 高阶统计量 Rapid变换 阈值分析 主元分析 |
| 文章编号： | 1001-506X(2005)06-0978-05 |
| 修稿时间： | 2005年5月18日 |
Image recognition method based on high-order statistics |
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| LI Jun-hong,PAN Quan,CHENG Yong-mei,CUI Pei-ling.Image recognition method based on high-order statistics[J].System Engineering and Electronics,2005,27(6):978-982. |
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| Authors: | LI Jun-hong PAN Quan CHENG Yong-mei CUI Pei-ling |
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| Abstract: | A new image recognition method based on high-order statistics is proposed. Firstly, Radon transform is used to project 2-D image to 1-D space, high-order statistics of the projection data are calculated, the scale and shift invariant is constructed in the bi-frequency domain. Secondly, Rapid transform is used to get the rotational invariant, which is better than other methods for image recognition. Thirdly, threshold analysis is used for feature data optimization. Finally, the feature data set is reduced to a small set based on the principle component analysis (PCA). The pattern recognition procedure is presented. Simulation results are given to obtain an insight into the efficiency of the proposed method. |
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| Keywords: | high-order statistics rapid transform threshold analysis principle component analysis |
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