The ICE Tool Feng Wen Qi Yuan Kin Wah Leung. Presentation Overview Project goal Interactive GUI ...
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Transcript of The ICE Tool Feng Wen Qi Yuan Kin Wah Leung. Presentation Overview Project goal Interactive GUI ...
The ICE Tool
Feng Wen
Qi Yuan
Kin Wah Leung
Presentation Overview
Project goal
Interactive GUI
Introduce image enhancement techniques Integration with Matlab™
Implementation of image enhancement techniques
Potential advancement of ICE tool
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
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
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
GUI Features
Ability to load and save image Ability to display both original and modified image
on same screen
GUI Features (cont…)
Easy toolbar browsing Combines simple image enhancement methods
Image Enhancement Techniques
Contrast EnhancementHistogram 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:
f
f dwwPfT0
)()(
k
j
k
j
jjfkk N
NfpfTg
0 0
)()(
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
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
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
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 ™
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 );
Image Enhancement Implementation
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
Image Enhancement Implementation (cont…)
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
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