Image Matching Based on Ant Colony Algorithm

摘要：

Ant colony algorithm(ACA)is a kind of discrete, parallel and robust evolutionary algorithm with fuzzy clustering ability. ACA has been introduced into image matching from the aspect of fuzzy clustering. The gray value, gratitude and neighbourhood of pixels are considered synthetically. This method is shown as a new algorithm by the test on computer.

关键词： Ant Colony Algorithm image matching fuzzy clustering feature eztraction

作者: SHI Hong-yan BEI Zhao-yu

作者单位: School of Information Science & EngineeringShenyang University of Technology 110178China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 3888-3891

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）