A dissimilarity visualisation system for CT : Pilot study

SELVAN, A. N., SAATCHI, R., AMAVASAI, B. P. and TRAVIS, J. R. (2005). A dissimilarity visualisation system for CT : Pilot study. In: International Conference on Computer as a Tool (EUROCON 2005), Belgrade, SERBIA MONTENEG, NOV 21-24, 2005. 1007-1010.

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One of the capabilities of the human vision process when visualising images is the ability to visualise them at different levels of details. A segmentation procedure has been developed to mimic this capability of human vision process. The developed hierarchical clustering based segmentation (HCS) procedure automatically generates a hierarchy of segmented images. The hierarchy represents the continuous merging of similar, spatially adjacent or disjoint, regions as the allowable threshold value of dissimilarity between regions, for merging, is gradually increased. By the very nature of the HCS procedure a large amount of visual information is produced. A graphical user interface (GUI) was designed to present the segmentation output in an informative way for the user to view and interpret. In addition the GUI displays the original image data by optimally mapping the range of data values to the available 256 gray level values. The purpose of this paper is to describe the development of the designed image visualisation system and to demonstrate some of its functionalities.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Times Cited: 0 International Conference on Computer as a Tool (EUROCON 2005) NOV 21-24, 2005 Belgrade, SERBIA MONTENEG
Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory
Page Range: 1007-1010
Depositing User: Danny Weston
Date Deposited: 13 Apr 2010 14:32
Last Modified: 18 Mar 2021 08:31
URI: https://shura.shu.ac.uk/id/eprint/1670

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