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
罗雪1
作者信息
- 1. 大庆油田设计院有限公司,黑龙江 大庆 163000
- 折叠
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.
Abstract
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Key words
oilfield industrial environment/surveillance video/picture recognition/edge detection/Gaussian model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据