A fuzzy mdel for scene decomposition based on preattentive visual features
Brown, Ross A., Pham, Binh L., & Maeder, Anthony J. (1999) A fuzzy mdel for scene decomposition based on preattentive visual features. In Rogowitz, Bernice E, Watson, Thomas J, & Pappas, Thrasyvoulos N. (Eds.) Human Vision and Electronic Imaging IV, 25-28 Jan 1999, San Jose, USA.
Feature detectors in the early preattentive stage of the Human Visual System (HVS) are believed to cause regions of the viewing field to be identified as perceptually salient, attracting the attention of the viewer. It is anticipated that this characteristic of the HVS can be incorporated into a feature based fuzzy scene decomposition model, which will assist an image rendering system in the allocation of the highest levels of detail to the most conspicuous objects. Efficiency gains should occur, with minimal loss of perceptual image quality.
This paper describes the early stages of the development of this fuzzy model, for a small subset of commonly accepted visual features: colour, size, location, edges and depth cues. Previous researchers have used arbitrary feature relationship models in image processing systems, with some success. Our aim is to improve on these models by integrating present knowledge of visual feature relationships , with experimental results of our own, and to apply this model to the area of image synthesis.
Preliminary results from experiments with size features are presented, along with planned experimentation for other visual features. This work will have applications in the areas of scientific visualisation, vision simulation and entertainment.
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|Item Type:||Conference Paper|
|Additional Information:||Note: At the time of publication, author Binh Pham was affiliated with the Research Centre for Intelligent Tele-Imaging at the University of Ballarat in Victoria. Professor Bin Pham is currently the Director of Research ( Faculty of Information Technology) at Queensland University of Technology.|
|Keywords:||image generation, fuzzy systems, scene decomposition, preattentive visual features|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)|
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 1999 (please consult author)|
|Deposited On:||25 Jan 2005|
|Last Modified:||09 Jun 2010 22:23|
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