| 基于数学形态学的信息识别研究及Matlab实现 |
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| 引用本文： | 王晓利.基于数学形态学的信息识别研究及Matlab实现[J].现代电子技术,2011,34(18):64-66,70. |
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| 作者姓名： | 王晓利 |
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| 作者单位： | 宝鸡文理学院电子电气工程系,陕西宝鸡,721007 |
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| 基金项目： | 宝鸡文理学院重点资助项目(ZK07114) |
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| 摘 要： | 为了实现信息快速识别，采用基于数学形态学的模块匹配方法，具体先将典型的信息归一化，然后提取其过线特征、左右轮廓特征，将这些特征组成被分析对象的特征向量，对信息进行初步分类，然后利用模板匹配法对信息进一步细化分类，从而完成信息识别。通过实验，利用Matlab中Simulink视频和图像处理模块集进行仿真，得出基于数学形态学的信息识别法定位准确度较高，研究对象阈值分割较好，且算法容易实现，对提高整个系统信息识别的实时性有实用意义。
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| 关 键 词： | 数学形态学 信息识别 特征向量 阈值分割 |
Research and Matlab Implementation of Information Identification Based on Mathematical Morphology |
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| WANG Xiao-li.Research and Matlab Implementation of Information Identification Based on Mathematical Morphology[J].Modern Electronic Technique,2011,34(18):64-66,70. |
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| Authors: | WANG Xiao-li |
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| Affiliation: | WANG Xiao-li(Dept.Electronics & Elect.Engn.,Baoji College Arts & Science,Baoji 721007,China) |
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| Abstract: | The module matching based on mathematical morphology was used to implement the information faster identification.The typical information normalization was performed,the line features or so outline feature were extracted to constitute the characteristic vectors of analysis object,the information was classified preliminarily.Then the information was further classified by the image processing blockset to complete information identification.Through an experiment,using Simulink video and image processing blockse... |
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| Keywords: | mathematical morphology information identification feature vector threshold segmentation |
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