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| 基于Pseudo-zernike不变矩的肺部图像特征提取及分类研究 | |
| 引用本文： | 马杨林,王海滨,徐学良.基于Pseudo-zernike不变矩的肺部图像特征提取及分类研究[J].西华大学学报(自然科学版),2012,31(1):67-69,74. |
| 作者姓名： | 马杨林 王海滨 徐学良 |
| 作者单位： | 1. 西华大学电气信息学院,四川成都610039;四川省信号与信息处理重点实验室,四川成都610039 2. 西华大学电气信息学院,四川成都,610039 3. 解放军第203医院胸脑泌外科,黑龙江齐齐哈尔,161000 |
| 摘 要： | 为准确、快速地分析肺部图像的特征,提出了一种基于Pseudo-zernike不变矩的肺部特征分析方法.通过对肺部图像进行预处理和基于Pseudo-zernike不变矩的特征提取,利用具有良好识别性能的SVM分类器对提取的肺部图像特征值做分类研究.实验结果表明,该方法能够很好地表征肺部图像的特征,具有良好的分类准确率. |
| 关 键 词： | 肺部图像 Pseudo-zernike不变矩 SVM分类器 |
Feature Extraction and Classification Examination of Lung Image Based on Pseudo-zernike Invariant Moment |
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| MA Yang-lin,WANG Hai-bin,XU Xue-liang.Feature Extraction and Classification Examination of Lung Image Based on Pseudo-zernike Invariant Moment[J].Journal of Xihua University:Natural Science Edition,2012,31(1):67-69,74. | |
| Authors: | MA Yang-lin WANG Hai-bin XU Xue-liang |
| Affiliation: | 1.School of Electrical and Information Engineering,Xihua University,Chengdu 610039 China; 2.Sichuan Provincial Key Laboratory of Signal and Information Processing,Chengdu 610039 China; 3.The 203nd Hospital of PLA,Qiqihaer 161000 China) |
| Abstract: | In order to analyse the feature of the lung image accurately and effectively,this paper presents a feature analysis approach of the lung image based on Pseudo-zernike invariant moment.Through the pre-processing and feature extraction of the lung image based on Pseudo-zernike moment invariant,the extraction eigenvalue of the lung image is classified and reaserched using SVM classifier,which has good recognition performance.The experimental results show that this method can characterize the teature of the lung image,and possess good classification accuracy. |
| Keywords: | lung image Pseudo-zernike invariant moment SVM classifier |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |