WEATHER PROCESS AND ANALYSIS BASED ON RANDOM CLOUD IMAGE BASED INFORMATION

Abstract

In modern technology, the easy way of weather process, analysis and forecast are Satellite or Radar system. But the easiest way of weather process, analysing is processed by a creating software with image processing. Researcher explores their thought about weather information based on hardware. In this paper represents the several research papers different concept combines together and proposed to a new exploration of weather process for the new generation. In this paper used to image processing tool to create base information of weather processing. The random cloud image is a valuable source of information in weather forecasting and early prediction of different atmospheric disturbances such as cyclone, typhoons, hurricanes, and storms etc. A Content-Based Image Retrieval (CBIR) system has been developed using the grey scale as retrieval features from the random image assortment. Image classification used image clustering for pixel value group into clusters based on similarity. Cluster pixel values purposes at searching for common characteristics without knowing the exact data types. Image indexing is stored pixel data to an index which is created in this research. The Euclidean distance metric is used to compute the similarity and non-similarity between the images. Keywords: Image retrieval, Euclidean distance, Content-based image retrieval using gray scale retrieval features, noise, image clustering, k-mean cluster algorithm, image indexing, similarity and non-similarity computations.