油田监控视频画面识别的边缘检测算法  

Edge Detection Algorithm for Oilfield Surveillance Video Image Recognition

作　　者：罗雪 LUO Xue(Daqing Oilfield Design Institute Co.,Ltd.,Daqing163000,China)

机构地区：[1]大庆油田设计院有限公司,黑龙江大庆163000

出　　处：《电视技术》2024年第7期222-225,共4页Video Engineering

摘　　要：现实中的油田工业环境是三维空间,但在监控视频里变成了二维图像。要想将目标从二维平面中分离出来,就要涉及图像识别。边缘检测是图像识别的关键环节之一。围绕识别领域中的边缘检测展开论述,剖析高斯模型的建模原理,并提出具体的高斯模型改进方案。此外,通过具体图像测试来比较高斯算法和高斯改进算法,进而加强对高斯建模的认知。The real oil field industrial environment is a three-dimensional space,but it becomes a two-dimensional image in the surveillance video.To separate the object from the two-dimensional plane,it involves image recognition.Edge detection is a key step in image recognition.This paper discusses the edge detection in the field of recognition,analyzes the modeling principle of Gaussian model,and puts forward a concrete improvement scheme of Gaussian model.In addition,we compare the Gauss algorithm with the Gauss improvement algorithm through the concrete image test,so as to strengthen the cognition of Gauss modeling.

关 键 词：油田工业环境 监控视频 画面识别 边缘检测 高斯模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]