Paper
17 February 2006 Region-based perceptual grouping: a cooperative approach based on the Dempster-Shafer theory
Nicolas Zlatoff, Bruno Tellez, Atilla Baskurt
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Abstract
As segmentation step does not allow recovering semantic objects, perceptual grouping is often used to overcome segmentation's lacks. This refers to the ability of human visual system to impose structure and regularity over signal-based data. Gestalt psychologists have exhibited some properties which seem to be at work for perceptual grouping and some implementations have been proposed by computer vision. However, few of these works model the use of several properties in order to trigger a grouping, even if it can lead to an increase in robustness. We propose a cooperative approach for perceptual grouping by combining the influence of several Gestalt properties for each hypothesis. We make use of Dempster-Shafer formalism, as it can prevent conflicting hypotheses from jamming the grouping process.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nicolas Zlatoff, Bruno Tellez, and Atilla Baskurt "Region-based perceptual grouping: a cooperative approach based on the Dempster-Shafer theory", Proc. SPIE 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning, 60640R (17 February 2006); https://doi.org/10.1117/12.649766
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image segmentation

Lithium

Computer vision technology

Machine vision

Signal processing

Visual system

Image processing algorithms and systems

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