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Details of Grant 

EPSRC Reference: GR/J78198/01
Title: DEEP MULTISPECTRAL IMAGE PROCESSINGTECHNIQUES FOR SURFACE ANALYTICAL MICROSCOPY
Principal Investigator: Kenny, Dr P
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Computing
Organisation: University of Bradford
Scheme: Standard Research (Pre-FEC)
Starts: 31 October 1994 Ends: 30 October 1997 Value (£): 34,907
EPSRC Research Topic Classifications:
Image & Vision Computing
EPSRC Industrial Sector Classifications:
Manufacturing
Related Grants:
Panel History:  
Summary on Grant Application Form
To develop new techniques for visualising, processing and compressing deep multispectral image sets from analytical electron, x-ray and ion microscopes.Progress:The project has only been running for four months. A list of the main activities already underway is shown below. Most of these are still at a very early stage.1. A Sun SparcStation 20 has been purchased. It was delivered last month.2. The Surface Science group at the University of York have performed a special experiment in order to produce suitable test data for this project. They successfully collected a 78-energy Auger deep multispectral image set.3. Contacts have also been established with possible collaborators at the University of Reims (France).4. Khoros version 2, a sophisticated image processing package, has been installed on the new Sparc. It is being evaluated for the purpose of visualising deep multispectral image data. 5. Several existing data compression techniques have been evaluated. Only lossless methods have been considered so far. None appear to work well with the deep multispectral test data, owing to high noise level. A novel method based on a modification of Huffman coding is now being investigated. 6. An automatic partitioning technique based on k-means clustering is being investigated. This uses an iterative procedure to overcome problems with robustness and unstable solutions. The results look promising for small numbers of images. Work is underway to extend the method to handle large numbers of images.
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Organisation Website: http://www.brad.ac.uk