296 Int. J. Reasoning-based Intelligent Systems, Vol. 10, Nos. 3/4, 2018 Copyright © 2018 Inderscience Enterprises Ltd. An efficient raindrop parameter estimation using image processing Pandharinath Appasaheb Ghonge* Department of Electronics, Ramrao Adik Institute of Technology, MS 400706, Nerul Navi Mumbai, India Email: ghongephd2017@gmail.com *Corresponding author Kushal R. Tuckley Department of Electrical Engineering, Ramrao Adik Institute of Technology, MS 400706, Nerul Navi Mumbai, India Email: kushal@ee.iitb.ac.in Abstract: Nowadays, image processing algorithms play a key role in the rain drop distribution estimation. This paper deals with number of drops and drop size distribution and its volume in particular time. We are using the raindrop image to calculate the amount of rainfall in a particular time. The proposed image processing based rain drop parameter estimation (IPRDPE) by using double-density dual-tree DWT (DDDT DWT) and thresholding based segmentation. By using effective image fusion technique, rain drop images from different angles are fused and using segmentation and morphological operations raindrop parameters estimated. To get better fused output max-based effective image fusion rules are used. The system using advanced image fusion technique and estimation for rain drop parameter, produce more accuracy and error free system compared to the existing techniques and also achieved better accuracy with respect to the real-time measurement. Keywords: raindrop image; double-density dual-tree discrete wavelet transform; DDDT DWT; segmentation; image processing based rain drop parameter estimation; IPRDPE. Reference to this paper should be made as follows: Ghonge, P.A. and Tuckley, K.R. (2018) ‘An efficient raindrop parameter estimation using image processing’, Int. J. Reasoning-based Intelligent Systems, Vol. 10, Nos. 3/4, pp.296–306. Biographical notes: Pandharinath Appasaheb Ghonge received his MTech in Electronics and Telecommunication from the Dr. Babasaheb Ambedkar Technological University, Lonere, Raigad, MS India in 2007 and Bachelor degree from the SSGMCE, Shegaon Buldhana, MS India 1998. Currently he is a research scholar at the Electronics Department of Ramrao Adik Institute of Technology, Nerul, Navi Mumbai, University of Mumbai, MS India, in the field of image processing and an Assistant Professor in Electronics Department of the YTIET University of Mumbai since July 2007. Kushal R. Tuckley studied in the IIT Bombay, India and received his BTech in EE in 1985, MTech in Comm. Engg. in 1989 and PhD degree in 2009. He worked in the SAMEER Mumbai for 25 years. During this period, he worked for the design development for the Indian MST radar, wind profiler, radio theodolite, remote SCADA and many RF and microwave systems for strategic and scientific applications. Currently, he is heading an industry, Agv Systems Pvt. Ltd., a technology company in niche industrial and commercial products. He is also an Adjunct Professor at Electrical Engineering Department at the IIT Bombay. His current research interest is developing signal processing algorithm and strategies to enhance and optimise the performance of various RF and microwave systems. 1 Introduction Image processing algorithms play an effective role for image feature extraction and improvement of the image quality. Many techniques have been developed to measure the rainfall in particular terrestrial areas by using radar signal information. Rain gauges are used for rain but the accuracy of the measurement is less due to several kinds of losses induced by them like evaporation losses, wetting losses and wind-induced errors. Rainfall measurements using satellite downlink attenuation method has been presented. In this attenuation of a commercial satellite link