目标尺寸先验与图像抽象的显著性检测

doi:10.3969/j.issn.1001-2400.2017.01.032

Abstract

Abstract:

In order to uniformly highlight the entire salient object and reduce the influence of high contrast small-size objects on saliency detection, salient object size distribution regularity and consistency of salient objects in different scales image abstraction are investigated. A multi-scale abstraction saliency detection approach based on the object size distribution prior is proposed. The method measures the color uniqueness and distribution for different super-pixel abstraction images, and guides salient object segmentation and abstraction by the object size distribution regularity. Experimental results on publicly available image databases show that the method can accurately detect salient objects. Meanwhile, it can restrain the influence of small-size high contrast objects on saliency detection and generate a uniform saliency map.

Key words: saliency detection, image abstraction, object size distribution prior, saliency map

WEI Rui;HE Mingyi;LIAN Baowang;ZHOU Junni. Saliency detection via object size distribution prior and image abstraction[J].Journal of Xidian University, 2017, 44(1): 182-188.

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Saliency detection via object size distribution prior and image abstraction

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