Abstract
Saliency detection is widely used in the fields of computer graphics and multimedia processing. Many computer graphics tasks, such as image segmentation, image labeling, and tracking, rely on the accurate generation of saliency maps. However, most current methods lack the ability to generate a fine boundary between the foreground and background while also providing a high recall rate. The saliency detection algorithm proposed in this paper is based on rectangular-wave spectrum analysis. In this method, we divide a given image into several regions, which are then convoluted using a pre-set rectangular-wave template. We determine the final saliency value by calculating the difference between a region and its adjacent regions, and its uniqueness compared with the entire image. Repeated tests using different data sets produced a high accuracy-recall rate. Moreover, the boundary in our saliency map is clear and fine.
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Acknowledgments
The authors would like to thank all reviewers for their helpful suggestions and constructive comments. The work is supported by the National Natural Science Foundation of China (No. 61202154, 61133009), National Key Technology R&D Program (No. 2012BAH55F02), the National Basic Research Project of China (No. 2011CB302203), Shanghai Pujiang Program (No. 13PJ1404500), the Science and Technology Commission of Shanghai Municipality Program (No. 13511505000), the Open Projects Program of National Laboratory of Pattern Recognition, and the Open Project Program of the State Key Lab of CAD&CG (Grant No. A1401), Zhejiang University.
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Yang, Y., Sheng, B., Wu, W. et al. Image saliency detection based on rectangular-wave spectrum analysis. Multimed Tools Appl 75, 6173–6187 (2016). https://doi.org/10.1007/s11042-015-2565-x
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DOI: https://doi.org/10.1007/s11042-015-2565-x