| 基于颜色特征码本的病害图像分类算法研究 |
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| 引用本文： | 宋丽娟. 基于颜色特征码本的病害图像分类算法研究[J]. 安徽农业科学, 2018, 46(4): 198-202. DOI: 10.3969/j.issn.0517-6611.2018.04.061 |
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| 作者姓名： | 宋丽娟 |
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| 作者单位： | 宁夏大学信息工程学院,宁夏银川,750021 |
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| 基金项目： | 国家自然科学基金项目，宁夏高等学校科学技术研究项目 |
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| 摘 要： | 首先对枸杞叶部图像的各类别病害图像的颜色特征进行分析,建立对应病害类别的颜色特征码本,最后利用稀疏表示理论建立病害图像颜色分布与病害类别的映射关系,进行基于颜色特征码本的病害图像分类。试验结果表明,该方法能有效建立病害图像的颜色特征与病害类别之间的关系。
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| 关 键 词： | 颜色特征码本 病害图像 稀疏表示理论 图像分类 |
Study on Disease Image Classification Algorithm Based on Color Feature Codebook |
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| SONG Li-juan. Study on Disease Image Classification Algorithm Based on Color Feature Codebook[J]. Journal of Anhui Agricultural Sciences, 2018, 46(4): 198-202. DOI: 10.3969/j.issn.0517-6611.2018.04.061 |
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| Authors: | SONG Li-juan |
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| Abstract: | This paper classified the disease and analyzed the image color characteristics of each category of Chinese wolfberry leaf at first.Secondly,color signature codebook corresponding to disease categories was established.Finally,with the help of the relationship between images color distribution and characteristics of disease based on theories of sparse representation,disease image classification based on the disease feature were carried out.Experimental results showed that the method could effectively create a relationship between the disease image categories and image's color characteristics. |
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