基于机器视觉的医院档案信息智能搜索

The intelligent search of hospital archive information based on machine vision

针对传统医院档案信息智能搜索方法花费时间较长,搜索结果相关性差的问题,将机器视觉应用于医院档案信息智能搜索中。通过多视角设计机器视觉注意模型,选取医院档案信息目标区域,在目标区域内,提取待搜索的医院档案信息特征,分析不同搜索模式,利用机器视觉中的相似性度量方法将医院档案信息与搜索模式相匹配,获取最优搜索方法,并输出显示结果。实验结果表明,在对同一医院档案信息进行搜索时,该方法的搜索时间更短,搜索结果的相关性较高。

The traditional intelligent searching method of hospital file information is time consuming and poor in searching highly relevant results. In order to solve the above problems,the machine vision method is used in the intelligent search of the hospital file information.The machine vision attention model is designed based on the multi-view angle,the target area of the information is selected,where the characteristics of the information to be searched are extracted.The different search modes are analyzed,and the similarity measurement method in the machine vision is adopted to match the information with the search mode,thus obtaining the optimal search method,and outputting the display result. The experimental results show that when searching the file information of the same hospital,the search time of this method is shorter,and the correlation of the search results is higher.