Prediction of rainfall using image processingPresentation Transcript
TEAM MEMBERSD.Upadesh Varma(08911A04A5) D.Venkatsh(08911A04B4)
NECESSITY FOR PREDICTION OF RAINFALL Water is elixir of life. So rainfall becomes the inevitable part of every nation which decides the prosperity and economic scenario of a country. In this fast moving world, estimation of rainfall has become a necessity especially when the global heat levels are soaring.
WHY IMAGE PROCESSING??? Generally for weather forecasting & rain forecasting we use the satellite images and satellite techniques. But it needs more technology and very high cost.
WHAT IS IMAGE PROCESSING?? Image processing and analysis can be defined as the “act of examining images for the purpose of identifying objects and judging their significance”. This is a physical process used to convert an image signal into a physical image.
DATA COLLECTION First we have to take the image as input and it is stored in the system. The Dimensions choosen for images is 400×300. The Images will be stored as JPEG files in the system.
SKY STATUS The status of the sky is found using Wavelet. When input is given to the system ,we apply Wavelet in order to split the status of sky from input image. Then we evolve with the extracted image to represent to represent the status of the cloud.
CLOUD STATUS The status of the cloud is determined by using the “cloud mask algorithm”.
Cloud Mask algorithm The cloud mask algorithm consists of certain tests. Single pixel threshold tests are used in it. Thick high clouds are detected with threshold tests that rely on brightness temparature in infrared &water vapour bands
CLOUD TYPE The ‘Clustering Technique’ is applied to the image to find the type of cloud. Basically “Nimbostratus &Cumulonimbus” are the rainfall clouds and clouds like cumulus will produce rain at some rare chances.
RAINFALL ESTIMATION The type of rainfall cloud is predicted by analyzing the color,texture & density of cloud images. The results predicts the type of cloud with it’s information like classifacation ,appearance & Altitude will provide the status of the Rainfall.
IMPLEMENTATION ENVIRONMENT All the methods and algorithms described in this thesis were implemented using JAVA on windows XP operating system. The digital cloud images used in the experiments were obtained by using 10Mega Pixel Digital Camera.
CONCLUSION After studying ‘image processing for the prediction of Rainfall’ we realize that it is a field with great potential which can be used in every walk of life.