Prophecy of Precipitation via Image Processing

Abstract

Water is elixir of existence. So rainfall becomes the
foreseeable part of every homeland which decides the affluence and fiscal set-up of a country. In this swift poignant world, assessment of precipitation has become an obligation especially when the universal heat levels are high-ceilinged. The proposed approach here is to use the digital cloud metaphors to envisage precipitation. Considering the cost factors and sanctuary issues, it is better to predict  recipitation (rainfall) from digital cloud images rather than satellite images. The status of sky is found using wavelet. The status of cloud is found using the Cloud Mask Algorithm. The type of cloud can be evolved using the K-Means Clustering technique. As per previous research works done
by the researchers, it is stated the Nimbostratus and Cumulonimbus are the precipitation clouds and other clouds like cumulus will produce drizzle at some rare chances. The type of precipitation cloud is predicted by analyzing the color and density of the cloud images. The cloud images are stored as JPEG file in the file system. Analysis was done over several images. The result predicts the type of cloud with its information like categorization, manifestation and altitude which will provide the status of the rainfall. The proposed approach can be utilized by common people to just take the photograph of cloud and can come to conclusion about the status of precipitation and to get the desired detail.