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| Region of Interest Detection Based on Visual Attention Model and Evolutionary Programming |
| Zhang Jing;Shen Lan-sun; Gao Jing-jing |
| Signal & Information Processing Lab, Beijing University of Technology, Beijing 100124, China |
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Abstract According to biological attention mechanism, a region of interest detection based on visual attention model and evolutionary programming is proposed in this paper. Candidate image regions are segmented with evolutionary programming algorithm. The interest of a region is measured with local saliency produced by visual attention model and global saliency based on evolutionary programming. After wavelet multiscale transform, local saliency in visual attention model is computed by center-surround differences. Under the action of saliency enhancement factors, focus of attention selects region of interest from candidate regions. The experimental results show the proposed approach is closer to human attention mechanism and performs well for object detection and interest measurement.
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Received: 03 June 2008
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2009, Vol. 31 
