Automatic multilevel thresholding for image segmentation using stratified sampling and Tabu Search
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| 001 | 605468834 | ||
| 003 | CHVBK | ||
| 005 | 20210128100318.0 | ||
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| 008 | 210128e20150901xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00500-014-1425-3 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00500-014-1425-3 | ||
| 245 | 0 | 0 | |a Automatic multilevel thresholding for image segmentation using stratified sampling and Tabu Search |h [Elektronische Daten] |c [Yunzhi Jiang, Pohsiang Tsai, Zhifeng Hao, Longbing Cao] |
| 520 | 3 | |a Image segmentation techniques have been widely applied in many fields such as pattern recognition and feature extraction. For the primate visual attention model, the perceptual organization is an important process to automatically extract the desirable features. In this article, we propose a new method called an automatic multilevel thresholding algorithm using the stratified sampling and Tabu Search (AMTSSTS) by imitating the primate visual perceptual behaviors. In the AMTSSTS algorithm, a gray image is treated as a population with the gray values of pixels as the individuals. First, the image is evenly divided into several strata (blocks), and a sample is drawn from each stratum. Second, a Tabu Search-based optimization is applied to each sample to maximize the ratio between mean and variance for each sample. The threshold number and threshold values are preliminarily determined based on the optimized samples, and are further optimized by a deterministic method which includes a new local criterion function with property of local continuity of an image. Results of extensive simulations on Berkeley datasets indicate that AMTSSTS can obtain more effective, efficient and smooth segmentation, and can be applied to complex and real-time environments. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Image segmentation |2 nationallicence | |
| 690 | 7 | |a Multilevel thresholding |2 nationallicence | |
| 690 | 7 | |a Intelligent optimization algorithms |2 nationallicence | |
| 690 | 7 | |a Stratified sampling |2 nationallicence | |
| 690 | 7 | |a Tabu Search |2 nationallicence | |
| 700 | 1 | |a Jiang |D Yunzhi |u School of Software, Jiangxi Agricultural University, Nanchang, China |4 aut | |
| 700 | 1 | |a Tsai |D Pohsiang |u Department of Computer Science and Information Engineering, National Formosa University, Huwei, Taiwan |4 aut | |
| 700 | 1 | |a Hao |D Zhifeng |u School of Computer Science and Engineering, South China University of Technology, Guangzhou, China |4 aut | |
| 700 | 1 | |a Cao |D Longbing |u Centre for Quantum Computation and Intelligent System, Advanced Analytics Institute, University of Technology, Sydney, Ultimo, Australia |4 aut | |
| 773 | 0 | |t Soft Computing |d Springer Berlin Heidelberg |g 19/9(2015-09-01), 2605-2617 |x 1432-7643 |q 19:9<2605 |1 2015 |2 19 |o 500 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00500-014-1425-3 |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/s00500-014-1425-3 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Jiang |D Yunzhi |u School of Software, Jiangxi Agricultural University, Nanchang, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Tsai |D Pohsiang |u Department of Computer Science and Information Engineering, National Formosa University, Huwei, Taiwan |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Hao |D Zhifeng |u School of Computer Science and Engineering, South China University of Technology, Guangzhou, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Cao |D Longbing |u Centre for Quantum Computation and Intelligent System, Advanced Analytics Institute, University of Technology, Sydney, Ultimo, Australia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Soft Computing |d Springer Berlin Heidelberg |g 19/9(2015-09-01), 2605-2617 |x 1432-7643 |q 19:9<2605 |1 2015 |2 19 |o 500 | ||