Image focus of attention detection based on double threshold visual attention model

Image focus-of-attention detection is the key technology of image region-of-interest extraction based on human visual attention model. A new image focus-of-attention detection algorithm is proposed based on double-threshold visual attention model. First, the intensity, colors, orientations and the center moments of discrete moment transform are extracted to generate the conspicuity maps for each feature. Second, the conspicuity maps are combined to get a saliency map. Finally, according to the gray-scale histogram of the saliency map, the static threshold and dynamic threshold are found to confirm the positions and numbers of the image focuses of attention. The experimental results show that the new algorithm has more outstanding performance in accuracy of image focus-of-attention detectio