Region-based perceptual grouping: a cooperative approach based on Dempster-Shafer theory

被引:1
|
作者
Zlatoff, Nicolas [1 ]
Tellez, Bruno [1 ]
Baskurt, Atilla [1 ]
机构
[1] Univ Lyon 1, LIRIS, UMR 5203, INSA, 43 Blvd 11 Novembre 1918, F-69622 Villeurbanne, France
来源
IMAGE PROCESSING: ALGORITHMS AND SYSTEMS, NEURAL NETWORKS, AND MACHINE LEARNING | 2006年 / 6064卷
关键词
segmentation; perceptual grouping; Gestalt properties; Dempster-Shafer;
D O I
10.1117/12.649766
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
uAs 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.
引用
收藏
页数:11
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