| 谷物害虫图像识别中数理统计特征的提取 |
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| 引用本文： | 张红梅,刘素华. 谷物害虫图像识别中数理统计特征的提取[J]. 计算机应用与软件, 2005, 22(3): 126-127,25 |
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| 作者姓名： | 张红梅 刘素华 |
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| 作者单位： | 郑州工程学院计算机科学系,河南,郑州,450052;郑州工程学院计算机科学系,河南,郑州,450052 |
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| 基金项目： | 河南省科技厅科技攻关项目资助 (编号 :0 2 2 4 0 1 0 0 1 1 ) |
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| 摘 要： | 本文阐述了利用计算机数字图像处理技术，对谷物害虫图像的一阶灰度值直方图和图像的目标区域，进行自动提取其一阶灰度值统计量和几何形状等数理统计特征的主要技术和方法。试验结果表明：该方法可以为谷物害虫的计算机自动模式识别(快速分类)提供稳定的特征参数值，有效地提高了识别率。
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| 关 键 词： | 谷物害虫 图像 灰度值统计量 边界链码 数理统计特征 |
ACQUISITION MATHEMATICAL AND STATISTIC EIGENVALUES IN THE IDNTIFICATION OF GRAIN PEST IMAGES |
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| Zhang Hongmei,Liu Suhua. ACQUISITION MATHEMATICAL AND STATISTIC EIGENVALUES IN THE IDNTIFICATION OF GRAIN PEST IMAGES[J]. Computer Applications and Software, 2005, 22(3): 126-127,25 |
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| Authors: | Zhang Hongmei Liu Suhua |
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| Abstract: | Computer-aided digital image processing technique in the classification and grain pests is discussed in this paper.With reference to the fist order gray histogram of pest images and their graphic target zones,related mathematical and statistic eigenvalues such as first order gray statistics and geometrical configuration are acquired.This technique has become a major vehicle to collect such eigenvalues in the taxonomic field of grain pests.As experiments demonstrates,this digital image processing technique can reveal a range of reliable eigenvalue and effectively increase the efficiency of identification. |
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| Keywords: | Grain pests Image Gray statistic Boundary chain code Mathematical and statistic eigenvalue |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
