Projects

Get Started with Image Processing

Basic Java Code

Advance image Processing Using ImageJ (Sample Code and Book)

1. Chromoni

:- I am trying to develop this project since my 2nd semester of my Masters, but in unorganized

way. So not able to complete even first version .

About Chromoni: This project will enable Karyotyping Raw DNA:

Technique: Using Image Processing Algorithms Developing identifying  Framework for each

group  of chromosome than for each individual chromosome.

Approach :Using ImageJ Source Code For GUI and IP process.

Current Status: I am progressing with speed of  tortoise so need some help in implementing algorithms.

Chromosome Length  Algorithm

I will be updating This blog regularly.

SO if You are interested , You help me in any prospective of Project

Getting Started:

1. Download ImageJSource

2. Set System of Java. I will prefer to use Eclipse

3. use Ant for building ImageJ source for avoiding compiler related errors.

a. Download Ant

b. Create c:/ImageJ/Source  put source code here for imageJ

c. Extract ant in c:/ImageJ folder

d. Go to C:/ImageJ/Ant/Bin/ant.bat  and edit JAVA_HOME according to your configuration.

e. Now build Source using c:/imageJ/Ant/ang.link

4. Open eclipse ,Go->File->New->project and add source code in it

Start Learning Basic algorithms..

Best of Luck…!!!

2. DCMTK – DICOM Toolkit

Description

DCMTK is a collection of libraries and applications implementing large parts the DICOM standard. It includes software for examining, constructing and converting DICOM image files, handling offline media, sending and receiving images over a network connection, as well as demonstrative image storage and worklist servers. DCMTK is is written in a mixture of ANSI C and C++. It comes in complete source code and is made available as “open source” software.

3. dcm4che2 DICOM Toolkit

Introduction

dcm4che2 is a high performance, open source implementation of the DICOM standard. It is developed in the Java programming language. Version 2.x of this toolkit (which is what this wiki space covers) is the next generation of the popular dcm4che-1.x DICOM toolkit. The toolkit has undergone a re-architecting with improvement over the 1.x version in the areas of speed, memory usage, simplicity, and a more robust DICOM dictionary implementation.

Useful Links:

1. Student Level JPEG Compression/Decompression with source code