Visual saliency detection in image using ant colony optimisation and local phase coherence

被引:18
作者
Ma, L. [1 ]
Tian, J. [2 ]
Yu, W.
机构
[1] Sch Elect & Informat Engn, Guangdong Key Lab Wireless Network & Terminal, Guangzhou 510641, Guangdong, Peoples R China
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
基金
中国国家自然科学基金;
关键词
D O I
10.1049/el.2010.0072
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A new visual saliency detection approach is proposed. The proposed approach exploits the ant colony optimisation technique to measure the image's saliency via depositing the pheromone (through ants' movements) on the image. Furthermore, the ants' movements are steered by the local phase coherence of the image. Experimental results are presented to demonstrate the performance of the proposed approach.
引用
收藏
页码:1066 / 1067
页数:2
相关论文
共 14 条
[1]  
[Anonymous], P IEEE C EV COMP HON
[2]   Ant colony optimization -: Artificial ants as a computational intelligence technique [J].
Dorigo, Marco ;
Birattari, Mauro ;
Stuetzle, Thomas .
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2006, 1 (04) :28-39
[3]  
Harel J., 2006, ADV NEURAL INF PROCE
[4]  
Hou XH, 2008, I C WIREL COMM NETW, P6009
[5]   A model of saliency-based visual attention for rapid scene analysis [J].
Itti, L ;
Koch, C ;
Niebur, E .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1998, 20 (11) :1254-1259
[6]  
Kovesi P., 1999, Videre, V1
[7]  
Liu T., 2007, Proc. International Conference on Advanced Intelligent Mechatronics, P1
[8]  
Ma Y.F, 2003, P 11 ACM INT C MULT, P374, DOI DOI 10.1145/957013.957094
[9]  
TIAN J, PATT RECOGN IN PRESS
[10]  
TIAN J, 2010, INT J ELECT COMMUN, V64, P584