Mathematical formulation for optimization of the application of image processing technique for pollution control Chopra Kamal Nain1,3,*, Sharma Suman2,** 1Formerly Scientist-G, Laser Science and Technology Centre, Defence Research and Development Organization (DRDO), Ministry of Defence, Metcalfe House, Delhi - 110054, India 3Research Scientist, Photonics Group, and Thin Films Lab., Indian Institute of Technology, Delhi, Haus Khas, New Delhi - 110016, India 2Maharaja Agrasen Institute of Technology, GGSIP University, Rohini, New Delhi-110086, India *(Corresponding author) email id: kchopra2003@gmail.com
**iitdelhi@gmail.com
Online published on 5 April, 2024. Abstract This paper introduces a Mathematical Formulation for optimizing the application of Image Processing Techniques in Pollution Control. It delves into a novel Sodar-based meteorological sensor network (SMSN) with Internet of Things (IoT) capabilities. Additionally, the paper details a Digital Image Processing-Based Water Pollution Control System. The technical aspects of an IoT Solution for Smart Cities’ Pollution Monitoring and the associated Security Challenges are thoroughly discussed. The paper also emphasizes Particle Pollution Estimation Based on Image Analysis. The insights provided in this paper are intended to benefit researchers and designers in the continually evolving field. Top Keywords Pollution control, Image processing, Image compression, Digital image processing. Top |