摘要
研究了如何应用量子遗传算法进行图像模板匹配,提出了逐级目标淘汰量子遗传算法。该算法充分利用了量子遗传算法的并行性质,很好地将粗搜索和精搜索结合起来,减少了匹配时间。实验结果证明了该算法的有效性。
The quantum genetic algorithm on the template matching has been studied, and the gradual target elimination quantum genetic algorithm （GTEQGA） has been proposed in this paper. GTEQGA makes the best use of the parallel character of quantum genetic algorithm, and combines the coarse search with the fine search, so the matching time is smaller than that of the classical template matc- hing methods. Experiment shows the algorithm is effective.
出处
《信号处理》
CSCD
北大核心
2009年第2期238-242,共5页
Journal of Signal Processing
关键词
模板匹配
逐级目标淘汰
量子遗传算法
Template matching
Gradual target elimination
Quantum genetic algorithm
