摘要
为消除基本宽线检测算子中的冗余计算量,提高其运算速度,提出了一种快速的宽线算子实现方法——自适应移动宽线算子。基本宽线算子采取逐像素移动的方式来检测图像中的宽线特征;自适应移动宽线算子与之不同,在检测宽线像素时能够根据当前像素类型自适应地确定模板移动的步长,从而加快模板的移动速度,较好地消除了基本算法中的冗余运算。利用测试图像进行的实验的结果表明,自适应移动宽线算子在取得相当检测性能的同时,提高了基本宽线算子的运算速度。
In this paper,a fast implementation of wide line detector was proposed to eliminate its computation redundancy and improve its computational speed,namely adaptive moving wide line detector.Instead of moving the circular mask pixel by pixel as done in the basic implementation,the adaptive moving wide line detector determines its step adaptively according to the current type of pixel under test.In this way,the computational redundancy can be decreased to a large extent so as to accelerate the detector.Simulated and real images were adopted for performance test of the proposed adaptive moving wide line detector.Experimental results demonstrate that the fast implementation accelerates the wide line detector significantly while keeping its detection performance unaffected.
出处
《计算机科学》
CSCD
北大核心
2018年第3期277-282,共6页
Computer Science
基金
国家自然科学基金(61401504)
博士后科学基金资助面上项目(2014M562562)资助
关键词
宽线特征
宽线算子
快速实现
冗余计算
Wide line feature
Wide line detector
Fast implementation
Computational redundancy
