MAEER’s
MAHARASHTRA INSTITUTE OF TECHNOLOGY, PUNE
DEPARTMENT OF ELCTRONICS AND TELECOMMUNICATION
Project Serial No.:
ANN Based GIFT In Labview
Group Members: 1. Dhairya N. Badiyani 30026
2. K. Vinit Rajan 30067
3. Shreyash J. Malani 30076
Class: B.E (E&T/C) Div: I
Sponsored: College
Academic Year: 2011-12
Abstract:
Image fusion provides a mechanism to combine multiple images into a single representation to aid human visual perception and image processing tasks. Such algorithms aim to create a fused image containing the imported information from from each source image without introducing inconsistancies.
The proposed framework (GIFT) offers a ‘Plug & Play’ environment for the construction of n-dimensional multiscale image fusion methods.
The project deals with building a Genralized Image Fusion Toolkit (GIFT) in Labview which wil cater the need of various fields like defence system, remote sensing, robotics, medical imaging and biometrics.
System Block Diagram:
Image Acquisition
Pre-processing
Decision Level Image fusion
Feature Level Image Fusion
Pixel Level Image Fusion
Image Metrics
Sub-module Block Diagram:
Pixel Level Image Fusion
Feature Extraction for Biometric
Feature Extraction for Satellite Images
Feature Extraction for Medical Images
Feature Level Image Fusion
Morpholgical Image Pyramid
DWT
Laplacian
Gabor Filter
Block Diagram Description:
1. Image Acquisition: Images from different sources or from database is acquired for fusion and given to the pre-processing block.
2. Pre-processing: Pre-processing involves measures such as removing noise, resizing, getting region of interest, cropping etc.
3. Image Fusion: Image fusion can be done at three different levels:
a. Pixel level
b. Feature level
c. Decision level
4. Image metric: The image metrics of original...