基于机器视觉的电子信息智能搜索方法

Intelligent Search Method of Electronic Information Based on Machine Vision

由于电子信息搜索的过程中未对电子信息进行滤波处理,使电子信息搜索的准确率降低,不能满足用户的信息搜索要求,为此,提出基于机器视觉的电子信息智能搜索方法。通过空间滤波法对电子信息进行滤波处理,根据处理结果,使用机器视觉技术提取电子信息特征后,解析相应的搜索需求,建立特征需求模型,将提取的特征与搜索需求相互匹配,输出最优搜索结果。通过实验论证可知,所提方法对用户需求信息进行搜索过程中,能够匹配输出最优的搜索结果,极大地提高了搜索效率。

Since the electronic information is not filtered in the process of electronic information search, the accuracy of electronic information search is reduced, and it cannot meet the information search requirements of users. Therefore, an intelligent search method for electronic information based on machine vision is proposed.The electronic information is filtered by the spatial filtering method. According to the processing results, the electronic information features are extracted by machine vision technology, and the corresponding search requirements are analyzed, a feature requirement model is established, and the extracted features are matched with the search requirements to output the optimal search. result. Through the experimental demonstration, it can be seen that the proposed method can match and output the optimal search results in the process of searching for user demand information, which greatly improves the search efficiency.