3. 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.
4. 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.
5. 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.
8. 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.
9. 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.
10. CLOUD STATUS
The status of the cloud is
determined by using the
“cloud mask algorithm”.
11. 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
12. 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.
13. 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.
15. 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.
16. 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.
