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Image Processing

Objective:

The project entitled Image Processing gives information about the various

operations that can be performed on images. We can store images into our own directory

and display them and we can modify these images.

Existing System

The existing system is semi-automated system. This system gives us very less

security for saving data; some data may be lost due to mismanagement. Its a limited

system and less-user friendly. Searching of particular information is very critical it takes

lot of time. The users cannot able to restrict the file sharing options. The users only know

his information only not others. It is very critical to share public information to all users.

Proposed System:

The development of this new system tries to automate the entire process keeping

in the view the database integration approach. User Friendliness is provided in the

application. The system makes the overall project management much easier and flexible.

It can be accessed over the Intranet. Various classes have been used for file uploading

and down loading. The user information files can be stored in centralized database. This

can provide good security for users data. Authentication is provided for this application as

only registered users can access.

Modules:

The system is proposed to have the following modules:

Save/Store Images, Display Images and Image Operations

Save/Store Images:

In Save/Store Images we can store the images in our own directory. That means we

can take the image from floppy drive or CD drive and store that image into our own

directory.

Display Images:

In Display Images we can give the date and display all the images saved on that

date. And suppose if we want to show the images by clicking the name we get the image.

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Image Operations:

In Image Operations we can perform various operations on the images. In this we

have five sub modules: Pixel Operations, Image Conversion, RGB Operations, Grayscale

Conversion, RGB Combinations. We can perform segmentation by increasing and/or

decreasing pixel size using Pixel Operations. We find the damage existing in images

using Find Damage. We can convert one type of image into another type (i.e. to

convert .gif to .jpeg etc.) which can be done under Image Conversion module. We can

add shades to images using RGB Operations. We can convert a colored image to a black

and white image using Grayscale Conversion and at last we can choose a color

combination using Red, Green and blue through RGB Combinations. Software:

Technologies : ASP .Net and C# .NetDatabase : MS-SQL Server 2005

IDE : Ms-Visual Studio .Net 2008

Hardware:

Processor : Pentium

RAM : 1GB