Project title: 
==============

Fractal similarity for feature detection in remote sensing images.

Supervisor:
===========

Dr. Dan C. Popescu 
CSIRO ICT Centre, Marsfield NSW 2122

Number of students: 1
==================

Project description:
====================

Fractal self-similarity is ominpresent in digital images. It can be exploited
to produce fractal image codes. Most notable applications of such codes are
in fractal image compression, and in fractal based image zooming.

There has been little done in terms of assessing how fractal self-similarity
could be used to anlyse local image features. The aim of this project is:

1. To generate a special type of ``robust'' fractal image codes, 
   from remote sensing images.

2. To analyse if and how typical local features of interest in
   remote sensing imagery are reflected in those codes.

3. To use those features to identify regions of interest in those images,
   such as water, rocks, vegetation, etc.

Requirements:
=============

The student is expected to have at least a basic knowledge of digital image
processing, and have good coding skills in C/C++.

Contact:
========

Dr. Dan C. Popescu

CSIRO ICT Centre
Cnr Vimiera & Pembroke Roads
Marsfield, NSW 2122

Phone:  (02) 9372 4558
Fax:    (02) 9372 4106
Email:  Dan.Popescu@csiro.au