| 基于小波变换的医学图像识别算法研究 |
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| 引用本文： | 郭凌云,杨长兴.基于小波变换的医学图像识别算法研究[J].电脑编程技巧与维护,2009(20):106-107. |
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| 作者姓名： | 郭凌云 杨长兴 |
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| 作者单位： | 1. 中南大学信息科学与工程学院,长沙,410083;湖南省永州职业技术学院,永州,425006
2. 中南大学信息科学与工程学院,长沙,410083 |
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| 摘 要： | 医学图像自动特征提取是辅助医生进行快速诊断病情和进行基于内容的医学图像检索的关键技术。本文介绍了医学图像的分割方法，利用小波变换对线性矩进行分析，使计算量和数据量大大减少，提高了效率。
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| 关 键 词： | 医学图像 小波变换 图像识别 分割 特征提取 |
The Research of Medical Image Recognition Algorithm based on Wavelet Transform |
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| GUO Lingyun,YANG Changxing.The Research of Medical Image Recognition Algorithm based on Wavelet Transform[J].Computer Programming Skills & Maintenance,2009(20):106-107. |
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| Authors: | GUO Lingyun YANG Changxing |
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| Affiliation: | GUO Lingyun,YANG Changxing(1 School of Information Science and Engineering,Central South University,Changsha 410083; 2. Yongzhou Vocational-Technical College,Yongzhou 425006) |
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| Abstract: | Automatic feature extraction for medical image is an key technique for fast diagnosis and CBIR （Content-based Image Retrieval）. Firstly, the method of image segmentation was introduced, then analyzing the linear matrix with wavelet transform makes the amount of calculation and data quantity reduced, and increases the efficiency. |
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| Keywords: | Medical Image Wavelet Transform Image Recognition Segmentation Feature Extraction |
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