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.

Keywords:

Perceptual object, saliency map, salient region, visual attention, visual saliency,

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Competing interests

The authors have no competing interests.

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