标题: | 基于影像处理技术之烟雾侦测 Smoke Detection Based on Image Visual Features |
作者: | 邱诗婷 吴炳飞 电控工程研究所 |
关键字: | 烟雾侦测;烟雾特征;电脑视觉;影像辨识;smoke detection;features;computer vision;pattern recognition |
公开日期: | 2010 |
摘要: | 监控系统种类繁多,本论文着重于烟雾侦测。烟雾是个看得见,却摸不清的东西,不论是运动方向或运动模式,都是无法明确的表达、阐述。本研究将以影像的资讯,探讨烟雾的特征。 本论文的主要架构为“烟雾特征介绍”、“演算法介绍”以及“实验结果分析”。在特征介绍中,为了使系统能够适应各种不同的环境,本论文着重于烟雾与背景的关联性,探讨烟雾的产生前后,对于画面以及背景的影响,并设计各种规范,实现自动化烟雾侦测系统。 在于实验结果分析,本研究设计各种实验场景,由自然光的环境到光线不匀的隧道,由室外到室内,由白天到夜间,并与先前的相关研究比较分析,探讨其相异之处。 Vision is one of the most direct receptors. The current surveillance that is still a human equipped with video monitors. Highly homogeneous work like this, the human beings will be out of attentions and become poor efficiency. This paper will introduce an automatic monitor system to complete the associated mission. It will save on the cost and also have related work efficiently without an exhausted condition. There are lots of kinds of monitoring systems. This paper focuses on smoke detection. In this paper consists of "smoke features introduction", "Introduction to smoke detection algorithm" and "experimental results". About introduction, in order to adapt to different environments, our work focuses on the correlations of smog and background. Then design the rules to implement smoke detection systems. Analysis of experimental results, we design various experimental scenes, the natural environment, Muja tunnel, outdoor, indoor, and nighttime. We will take a look of the previous related research and analysis, and discuss the differences. |
URI: | http://140.113.39.130/cdrfb3/record/nctu/#GT079812508 http://hdl.handle.net/11536/46864 |
显示于类别: | Thesis |