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基于细菌觅食优化算法的自适应阈值边缘检测
Adaptive Threshold Edge Detection Based on Bactrial Foraging Optimization Algorithm
【摘要】 Sobel算子在阈值偏高或偏低的情况下会产生伪边缘或边缘丢失的问题。为此,将细菌觅食优化算法与最大类间方差相结合,利用细菌觅食优化算法的全局寻优能力,以最大类间方差为适应度函数搜索最佳边缘检测阈值,对图像进行自动边缘检测。实验结果证明,该方法能够取得较好的边缘分割效果,提高阈值检索速度。
【Abstract】 Under the threshold high or low,Sobel operator will form the fake edge and the missing of edge.In order to overcome it,this paper proposes a new method which combines Bacterial Foraging Optimization(BFO) algorithm with Otsu algorithm,makes use of global optimization ability of BFO algorithm,uses the Otsu algorithm as the fitness function to search the best threshold,and automatically detects image edges.Experimental result shows that the method improves the retrieval speed of threshold and makes better effect of edge segmentation.
【关键词】 Sobel算子;
细菌觅食优化算法;
边缘检测;
遗传算法;
适应度函数;
【Key words】 Sobel operator; Bacterial Foraging Optimization(BFO) algorithm; edge detection; Genetic Algorithm(GA); fitness function;
【Key words】 Sobel operator; Bacterial Foraging Optimization(BFO) algorithm; edge detection; Genetic Algorithm(GA); fitness function;
【基金】 广西自然科学基金资助重点项目(2011GXNSFD018025);广西教育厅科学研究与技术开发计划基金资助项目(桂科攻1114006-3B);广西研究生教育创新计划基金资助项目(2011106030703M05)
- 【文献出处】 计算机工程 ,Computer Engineering , 编辑部邮箱 ,2012年21期
- 【分类号】TP391.41
- 【被引频次】14
- 【下载频次】182