caa a22 4500 605447896 CHVBK 20210128100134.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s11042-014-1893-6 doi (NATIONALLICENCE)springer-10.1007/s11042-014-1893-6 Detection of saliency maximally stable color regions [Elektronische Daten] [Jun Miao, Jun Chu, Guimei Zhang] 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. Springer Science+Business Media New York, 2014 Feature extraction nationallicence Maximally stable extremal region nationallicence Color nationallicence Saliency nationallicence Miao Jun School of Mechatronics Engineering, Nanchang University, Nanchang, China aut Chu Jun Institute of Computer Vision, Nanchang Hangkong University, Nanchang, China aut Zhang Guimei Institute of Computer Vision, Nanchang Hangkong University, Nanchang, China aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 5845-5860 1380-7501 74:15<5845 2015 74 11042 https://doi.org/10.1007/s11042-014-1893-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-1893-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Miao Jun School of Mechatronics Engineering, Nanchang University, Nanchang, China aut NATIONALLICENCE 700 1- Chu Jun Institute of Computer Vision, Nanchang Hangkong University, Nanchang, China aut NATIONALLICENCE 700 1- Zhang Guimei Institute of Computer Vision, Nanchang Hangkong University, Nanchang, China aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 5845-5860 1380-7501 74:15<5845 2015 74 11042