International Journal of Engineering Research in Electronics and Communication Engineering

Air Pollution Monitoring and Estimation Using Diffusion Process

Author : Dr. S.Mary Joans ¹ M.Pavithra ²

Date of Publication :20th April 2018

Abstract: This paper presents a method to monitor and estimate the level of pollution in the environment using diffusion process present in the image processing method. Diffusion process is used to reduce the level of noise present in the images. The percentage of pollution present in the environment is also calculated and the estimation ratio is obtained. Air pollution has become a major issue in the modern world , the reason is industrial emissions and increasing urbanization along with traffic jams and heating/cooling of buildings. Monitoring urban air quality is therefore required by municipalities and by the civil society. Current monitoring systems rely on smoke and exhaust detection system that has been developed for monitoring exhaust gases using far infrared camera which is costly. In this paper, we focus on an alternative or complementary approach, with image processing aiming at obtaining the images from environment and monitoring the pollutants present in the environment using image processing method, along with implementation of the diffusion process to reduce the image noise without removing significant parts of the image content. In image processing the input may be image or video frames. The outputs are also images. Various tasks like classification, feature extraction, recognizing different patterns can be done using image processing method

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