Detection of saliency maximally stable color regions
| LEADER | caa a22 4500 | ||
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| 001 | 605447896 | ||
| 003 | CHVBK | ||
| 005 | 20210128100134.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150801xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s11042-014-1893-6 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11042-014-1893-6 | ||
| 245 | 0 | 0 | |a Detection of saliency maximally stable color regions |h [Elektronische Daten] |c [Jun Miao, Jun Chu, Guimei Zhang] |
| 520 | 3 | |a 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. | |
| 540 | |a Springer Science+Business Media New York, 2014 | ||
| 690 | 7 | |a Feature extraction |2 nationallicence | |
| 690 | 7 | |a Maximally stable extremal region |2 nationallicence | |
| 690 | 7 | |a Color |2 nationallicence | |
| 690 | 7 | |a Saliency |2 nationallicence | |
| 700 | 1 | |a Miao |D Jun |u School of Mechatronics Engineering, Nanchang University, Nanchang, China |4 aut | |
| 700 | 1 | |a Chu |D Jun |u Institute of Computer Vision, Nanchang Hangkong University, Nanchang, China |4 aut | |
| 700 | 1 | |a Zhang |D Guimei |u Institute of Computer Vision, Nanchang Hangkong University, Nanchang, China |4 aut | |
| 773 | 0 | |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/15(2015-08-01), 5845-5860 |x 1380-7501 |q 74:15<5845 |1 2015 |2 74 |o 11042 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11042-014-1893-6 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11042-014-1893-6 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Miao |D Jun |u School of Mechatronics Engineering, Nanchang University, Nanchang, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Chu |D Jun |u Institute of Computer Vision, Nanchang Hangkong University, Nanchang, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zhang |D Guimei |u Institute of Computer Vision, Nanchang Hangkong University, Nanchang, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/15(2015-08-01), 5845-5860 |x 1380-7501 |q 74:15<5845 |1 2015 |2 74 |o 11042 | ||