PREDICTON OF RAIN FALL USING

IMAGE PROCESSING

TEAM MEMBERS D.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.

VARIOUS IMAGE PROCESSES

IMAGE ENHANCEMENT

IMAGE RESTORATION

IMAGE SEGMENTATION

IMAGE COMPRESSION

STEPS INVOLVED

DATA COLLECTIONFirst 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 STATUSThe status of the cloud is

determined by using the “cloud mask algorithm”.

Cloud Mask algorithmThe 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 TYPEThe ‘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 ESTIMATIONThe 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.

DATAFLOW MODEL

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.

CONCLUSIONAfter 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.

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Thank you……….