Object Remarkable Features Extraction Strategy Based on Imagery Conceptual Network

Hong Chang Ke; Hui Wang; De Gang Kong

doi:10.4028/www.scientific.net/AMM.220-223.2213

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 220-223Object Remarkable Features Extraction Strategy...

Object Remarkable Features Extraction Strategy Based on Imagery Conceptual Network

Abstract:

Visual imagery is the foundation of image thinking and provides key features of special object for the top-down guidance of visual attention. The simulation of image thinking reasoning based on visual imagery has important significance for many fields such as automatic production, aerospace and image processing. At present, the representation and reasoning mode of visual imagery has gradually become one of the hot topics in the field of scientific and technological research. An object remarkable features extraction strategy based on the imagery conceptual network constructed before is proposed. The contribution of the strategy is that it can find remarkable features of the special object distinguish from others in the finite object concept set stored, which can be used to guide other cognitive activities such as target searching and visual attention.

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Periodical:

Applied Mechanics and Materials (Volumes 220-223)

Pages:

2213-2216

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.220-223.2213

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Online since:

November 2012

Authors:

Hong Chang Ke, Hui Wang, De Gang Kong

Keywords:

Image Thinking, Imagery Conceptual Network, Object Remarkable Feature, Visual Imagery

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