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Research and Application on Water Quality Bio-monitoring System Based on Dynamic Image Understanding

Author: WangLiNa
Tutor: FangJingLong
School: Hangzhou University of Electronic Science and Technology
Course: Applied Computer Technology
Keywords: Biological type of water quality monitoring Dynamic Image Understanding Biological indicators Target detection Target tracking
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 69
Quote: 0
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Abstract


With the rapid economic development, China's water pollution situation becomes very grim, serious impact on people's lives and the sustainable development of the economy. Therefore, the water quality must be performed early monitoring, not \Closely related to the creatures living in the water with water, the reaction to changes in water quality, in a timely manner to provide people with the pollution of the water early changes in ecological conditions. The essence of the biological type of water quality monitoring through the changes of the ecological status of water bodies biological indicator to achieve the purpose of the comprehensive evaluation of water quality. This paper presents a a live fish water quality monitoring technology based on dynamic image understanding, it is a combination of water biological monitoring, computer vision, and dynamic image understanding technology provides a new technology for the development of the biological type real-time online water quality monitoring system, and methods. Major work done by the paper include the following points: 1, proposed biological water quality monitoring technology based on dynamic image understanding. Through the real-time computer vision technique to continuously obtain a water quality monitoring of biological formula the water biological indicator is used as the video image, and then through the tracking of moving targets on the video image sequence to extract the behavioral parameters of the biological indicator, the use of dynamic image understanding technology The analysis of these behavioral parameters, and thus achieve the purpose of the evaluation of the water quality of the security situation. 2, video image processing techniques. The research is some of the video image pre-processing technology and processing technology. For video image pre-processing technology, this paper introduces the typical image filtering, smoothing techniques and enhanced technology, and then use these technologies for video image processing, and laid the foundation for the subsequent processing. This article describes several moving target detection and tracking method for video image processing technology. This paper mainly uses the typical mixed Gaussian model background reconstruction and updating technology, target detection technology based on background subtraction and Kalman filter-based target tracking technology to achieve tracking the trajectory of the in vivo behavior of fish. Semantic descriptions and explanations vivo fish monitoring water quality changes. Behavioral characteristics of the in vivo fish swimming speed, swimming height, the number of live fish can react to changes in water quality, these behavioral characteristics and in vivo fish can be identified by high-level image semantics and analysis. In this article by tracking live fish trajectory design and extraction in vivo fish behavior parameters and behavior parameters extracted semantic analysis, and then judge the ecological conditions of the live fish. 4, with in vivo fish as a biological type of water quality monitoring biological indicator experiment. Fish as water quality biological indicator has obvious advantages, such as low cost, easy access to resources, water quality feel high sensitivity, making it the first choice for our experiment. Experiment, dynamic image understanding technical analysis in vivo fish ecological conditions and behavioral changes in normal water, slightly polluted water and heavily polluted waters. Experimental results show that the ecological conditions of the live fish can react to the water quality of the security situation. Biological type of water quality monitoring technology has broad application prospects, but due to the limitations of this experiment, the text of the content is limited, I hope to be able to provide a valuable reference for future research.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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