The ICE Tool

1
The ICE Tool

• Feng Wen
• Qi Yuan
• Kin Wah Leung

2
Presentation Overview

• Project goal
• Interactive GUI
• Introduce image enhancement techniques
• Integration with Matlab
• Implementation of image enhancement
• techniques
• Potential advancement of ICE tool

3
ICE Tool

• What is ICE tool?
• ICE Image Contrast Enhancement
• Capable of executing various image enhancement
  techniques
• Provides easy to use interface
• Can be altered according to desire needs if
  necessary

4
Project Goal

• To implement an interactive GUI capable of
  enhancing
• images
• Research image enhancement techniques
• Programming an interactive GUI
• Integrating with Matlab libraries
• Implementing image enhancement functions
• make sure functions performed correctly

5
Interactive GUI

• The Interactive GUI (graphic user interface)
• As user friendly as possible
• Created using Java
• - A programming language from Sun Microsystems
• - Provides great system portability
• Created as a Java frame application

• GUI features
• Ability to load and save desired images
• Displays original and modified image on the same
  panel
• Easy menu bar browsing

6
GUI Features

• Ability to load and save image
• Ability to display both original and modified
  image
• on same screen

7
GUI Features (cont)

• Easy toolbar browsing
• Combines simple image enhancement methods

8
Image Enhancement Techniques

• Contrast Enhancement
• Histogram equalization
• - Image quality can be improved by altering
  histogram
• - Calculates the ideal transformation from the
• histogram of the image
• - All gray levels used has a tendency to enhance
  image contrast
• Transformation Function
• T(f ) can be calculated from the following
  relation

9

Image Enhancement Techniques (cont)

• Noise Removal Filter removes dots or speckles
  on image
• (equivalent of low-pass filtering)
• Average Filter (Mean)
• - Replace each pixel by the average of the window
  area pixels
• - Has the effect of smoothing image
• - Larger window size removes noise more
  effectively while
• - At the expense of blurring the details
• Median Filter
• - Replace each pixel by the median of the window
  area pixels
• - More effective against impulse noise (aka salt
  and pepper)
• - Can retain details and edges better than
  averaging filter

10
Image Enhancement Techniques (cont)

• Deblurring
• Wiener Deblurring
• - Generalized inverse filter
• - Effective when information regarding frequency
  
• characteristics are known, at least to a
  degree
• Lucy-Richardson
• - Effective when the PSF (point-spread function)
  is know but
• little information is available for the
  noise
• Sharpening
• Enhances details and edges
• Line structures can be obtain by applying
  high-pass filter

11
Integration With Matlab

• Benefits
• Allows the access of the large Matlab function
  library
• - The Matlab math function library
• - The Matlab image processing function library

• Integration process
• Use of an software engine to link Matlab and
  Java GUI
• together
• Implement the functions to the appropriate
  buttons

12
Integration With Matlab

• Incorporate with JMatLink
• A Java engine capable of linking Java
  applications and Matlab
• - Use of native methods, no source code need to
  be changed
• - Created by Stefan Muller http//www.held-mueller
  .de/JMatLink/
• Edit autoexec.bat to set path to Matlab and
  Java

13
Image Enhancement Implementation

• Research Matlab code
• Must know the codes for executing all of the
  image enhancement
• techniques
• Ex for histogram equalization
• I imread(abc.jpg)
• J histeq( I )

• Implement the code to the Java interface
  buttons
• Every component assigned the appropriate Matlab
  code
• Press of buttons send Java code to Matlab
  for execution

14
Image Enhancement Implementation (cont)
15
Summary

• Successfully creating an functional interactive
  GUI using
• Java
• Java was integrated with Matlab through
  JMatLink
• The Matlab code was associated with every
  button in GUI
• Additional features and improvements can be made

16
Future Advancement of ICE Tool

• Try to make it a standalone application without
  Matlab
• Addition of more image enhancement techniques
• Addition of more features such as help
  documentation,
• zoom, etc
• Package into an easy to install application