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2014 (Vol. 7, Issue: 1)
Article Information:

A Computational Model of Visual Attention Based on Space and Object

Shuhong Li and Qiaorong Zhang
Corresponding Author:  Shuhong Li 

Key words:  Perceptual object, saliency map, salient region, visual attention, visual saliency, ,
Vol. 7 , (1): 42-48
Submitted Accepted Published
January 25, 2013 March 02, 2013 January 01, 2014
Abstract:

Object-based visual attention has got more and more attention in image processing. A computational model of visual attention based on space and object is proposed in this study. Firstly spatial visual saliency of each pixel is calculated and edges of the input image are extracted. Salient edges are obtained according to the visual saliency of each edge. Secondly, a graph-based clustering process is done to get the homogeneity regions of the image. Then the most salient homogeneity regions are extracted based on their spatial visual saliency. Perceptual objects can be extracted by combining salient edges and salient regions. Attention value of each perceptual object is computed according to the area and saliency. Focus of attention is shifted among these perceptual objects in terms of the attention value. The proposed computational model was tested on lots of natural images. Experiment results indicate that our model is valid and effective.
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  Cite this Reference:
Shuhong Li and Qiaorong Zhang, 2014. A Computational Model of Visual Attention Based on Space and Object.  Research Journal of Applied Sciences, Engineering and Technology, 7(1): 42-48.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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