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Detection of saliency maximally stable color regions

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Abstract

In this study, we propose to detect regions of interest based on salient information in images. The maximally stable color region (MSCR) approach is extended by incorporating color salient information into the stable region detection design. Salient regions with a color similar to that of their vicinity are detected successively through agglomerative clustering. The algorithm introduces novel methods used in color saliency enhancement into the context of local feature detection. The color saliency enhancement approach is evaluated by detecting salient objects. Experimental results demonstrate that our algorithm yields high precision and recall rates, and focuses on the interesting color structure of the image. The proposed detector is also evaluated by using an image matching test. The experimental results show that this detector outperforms intensity- and color-based detectors in terms of match correspondence.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 61263046, 61063030), Aviation Science Foundation of China (No. 2010ZC56005).

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Authors and Affiliations

  1. School of Mechatronics Engineering, Nanchang University, Nanchang, China

    Jun Miao

  2. Institute of Computer Vision, Nanchang Hangkong University, Nanchang, China

    Jun Miao, Jun Chu & Guimei Zhang

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  1. Jun Miao
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  2. Jun Chu
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  3. Guimei Zhang
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Correspondence to Jun Chu.

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Miao, J., Chu, J. & Zhang, G. Detection of saliency maximally stable color regions. Multimed Tools Appl 74, 5845–5860 (2015). https://doi.org/10.1007/s11042-014-1893-6

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  • DOI: https://doi.org/10.1007/s11042-014-1893-6

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