摘要
基于图像处理与机器视觉技术,设计了在线环境监测系统。并对该系统基本构成、工作原理以及一些关键图像技术进行了研究,主要包括图像的获取、图像的预处理和图像的特征提取与识别等。该系统的研究能够为工业烟尘污染的预防与控制策略的制定提供依据,有助于环境的保护。
The design of an online environmental monitoring system based on image processing and machine vision is introduced. The system construction, working principle and some key technology are presented, such as image acquisition, image edge detection, image segmentation, image feature extraction, image recognition and so on. The prevention and control strategy of industrial soot are made according to study, which should contribute to the protection of the environment.
出处
《计算机工程与设计》
CSCD
北大核心
2007年第17期4303-4306,共4页
Computer Engineering and Design
关键词
机器视觉
图像处理
特征向量
人工神经网络
模式识别
machine vision
image processing
eigenvector
neural networks
pattern recognition
