基于智能图像处理的污水区域检测研究  被引量:1

Sewage Area Detection based on Intelligent Image Processing

在线阅读下载全文

作  者:周伟[1] Zhou Wei(Yangling Vocational and Technical College, Yangling 712100, China)

机构地区:[1]杨凌职业技术学院,陕西杨凌712100

出  处:《环境科学与管理》2019年第3期124-126,共3页Environmental Science and Management

摘  要:智能图像处理是污水区域检测系统自身可靠性设计的关键因素,在此基础上应用系统安全及可靠性理论,建立了基于处理智能图像的污水区域检测系统模型,明确了应用系统运行效能评价指标体系和指标权重,以便及时准确对污水区域图像进行有效的智能检测。为验证系统的有效性,结合智能图像处理对污水区域检测系统进行检测,对污水检测系统的运行时间和准确性进行了对比分析,实验证实该系统可有效对污水区域进行检测,最大程度上减少了污水区域带来的损失。Intelligent image processing is the key factor in the reliability design of the sewage area detection system. Based on this, the application of system safety and reliability theory is established. The model of sewage area detection system based on processing intelligent image is established, and the evaluation index system of application system operation efficiency is clarified. The weight of the index was determined in order to timely and accurately perform effective intelligent detection of the image of the sewage area. In order to verify the effectiveness of the system and combined with intelligent image processing to detect the sewage area detection system, the running time and accuracy of the sewage detection and detection system were compared and analyzed. The experiment confirmed that the system can effectively detect the sewage area, to the greatest extent. Reduce the damage caused by the sewage area.

关 键 词:水污染检测 检测系统 集中控制 区域检测 远程检测 可靠性分析 

分 类 号:X830.3[环境科学与工程—环境工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象