| 基于纹理特征的矾花图像自动识别方法 |
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| 引用本文： | 王新增,严国莉. 基于纹理特征的矾花图像自动识别方法[J]. 电脑开发与应用, 2006, 19(9): 46-48 |
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| 作者姓名： | 王新增 严国莉 |
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| 作者单位： | 63880部队,洛阳,471003;北京航天指挥控制中心,北京,100094 |
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| 摘 要： | 为了实现自来水厂沉淀池加料系统的自动控制,针对矾花图像自动识别部分,提出一种采用纹理分析方法,提取矾花图像的纹理特征,然后组合这些特征,构造一种先级联再并联的多分类器组合结构,实现矾花图像的自动识别。实验证明,该算法准确度大、识别率高达97%,可靠性达99%,能满足实际系统的要求。
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| 关 键 词： | 图像识别 矾花图像 纹理特征 多分类器组合 |
| 文章编号： | 1003-5850（2006）09-0046-03 |
| 收稿时间： | 2006-03-17 |
| 修稿时间： | 2006-07-17 |
Automatic Recognition of Alum Image based on Texture Feature |
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| Wang XinZeng;Yan GuoLi. Automatic Recognition of Alum Image based on Texture Feature[J]. Computer Development & Applications, 2006, 19(9): 46-48 |
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| Authors: | Wang XinZeng Yan GuoLi |
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| Abstract: | In order to implement automatic control of the alum-feeding system for the deposit pool in waterworks, a recognition algorithm of alum image for the part of alum image automatic recognition is presented in the paper. This recognition algorithm is used to extract the texture features of alum image and to combine these features to construct multi-classifier combination structure in which the cascade is followed by parallel link, to implement the automatic recognition of alum image. The results of experiments show that the accuracy and recognition rate of the algorithm are high. |
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| Keywords: | image recognition alum image texture feature multi-classifier combination recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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