Research Of Detection Method For Sewage Discharge Chromaticity Based On Image Processing

With the rapid development of high-definition camera technology in computer video surveillance applications,the sources of image information are continuously expanding,and the application of digital image recognition technology is becoming increasingly widespread,which play an important role in economic development and environmental protection.The “Integrated Wastewater Discharge Standard” formulated by the state which indicated that chromaticity is one of the main indicators for controlling water pollution and protecting the quality of water in the natural environment.At present,the detection of the chromaticity has the problems of high cost,complicated operation and lagging detection time.The first part of this article is to judge the situation of drain discharge in the video monitoring by using background difference method,filtering processing and threshold value determination and judgment in image processing,etc.The result shows that the background difference can not only effectively identify the contaminated range of the image,but also obtain threshold value by using Otsu access to judge the discharge situations and chromaticity detection.The accuracy of recognition can achieve 70.71%,and the average experiment takes 5.1093 s.The second part of this article is to analyze the relationship between the fundamental of chromaticity measurement and image recognition technology,and propose a process of the chromaticity detection based on image recognition technology.In the experiment,we use feature extraction method of color moment to identify the image,the accuracy of recognition can achieve 95.48%,and the average experiment takes 0.9685 s.The result shows that the feature extraction method based on color moment has a better recognition effect than the Otsu,but there is a large amount of actual computational workload.The third part of this article is to solve the problems of the previous two color detection methods.The method based on Convolutional Neural Network is proposed in this paper to classify and identify the chromaticity.In combination with HSV color model,we'll go through a quantitative calculation of the chromatic value of sewage discharge image.We calculate the chromatic value that within the range of red chromaticity(330°-360°)is 331.08°in the sample for red sewage discharge image.We calculate the chromatic value that within the range of orange chromaticity(30°-60°)is 40.43°in the sample for orange sewage discharge image.After experimental tests,the convolutional neural network algorithm was used to identify the detection.Using the algorithm of Convolution Neural Network to identify and detect,the accuracy of recognition can achieve 97.27%,and the average experiment takes 0.5723 s.The last part of this article,not only three chromaticity detection methods and results are contrasted and summarized,the idea of improving the detection method is also put forward.The research results show that in the accuracy of color discrimination and recognition time of sewage discharge,compares to the Otsu and feature extraction method,chromaticity detection method of the Convolutional Neural Network has certain advantages.The chromaticity detection method of image processing is more convenient and accurate than the existing chromaticity detection instrument,it can not only reduce the complexity of the operation and reduces the cost of the chromaticity detection,but also improve treatment efficiency of chromaticity detection.