Photo Gallery

Click on any individual image for the full version.


Shape Detection

These images demonstrate the work of Michael Barrett-Lennard, who has used Danielsson's shape-detection algorithms to analyse the structure of mammographic images. The first image is a raw mammogram, whilst the second image highlights the different shapes that are present in the image data. The shapes range through from a negative blob (red) to a negative line (yellow), a saddle shape (green), a positive line (blue), through to a positive blob (dark blue).


Visualising 3D Confocal Microscope Images

These images are volume renderings of a 3D confocal microscope image (591x491x99) of a house dust mite. The images were rendered using the AVS/Express ray-tracer. The left image is a single view of the mite and the right image is a stereo-pair rendered as a red-green anaglyph (view with red-green glasses). The confocal dataset was collected by Stephen Cody at the Biomedical Confocal Microscopy Research Centre, UWA. The house dust mite is courtesy of Dr. Geoff Stewart, Microbiology, UWA.


The UWA Robotics and Vision Research Group
Department of Computer Science
Faculty of Engineering and Mathematical Sciences
The University of Western Australia
Nedlands, Western Australia, 6907.
AUSTRALIA

This page was last updated in September 1997 by Robyn Owens (robyn@cs.uwa.edu.au).