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Received:December 18, 2014 Revised:March 02, 2015
Received:December 18, 2014 Revised:March 02, 2015
中文摘要: 计算机视觉目前已经得到广泛的应用, 通过图像检测圆在工程应用中具有重要的意义. 为了在实时系统中自动检测图像中的圆并且精确得到圆心和半径, 提出了一种改进的Hough变换检测圆的方法. 先对图像边界进行过滤, 得到连续边界, 然后对每条连续边界进行排序并等分, 选择三点进行圆心和半径计算, 将传统Hough变换检测圆的三维参数降到一维参数来统计, 在降低了计算时间和内存资源占用的同时, 提高了检测圆的准确性. 实验表明, 该方法能够满足实际检测的需要. 同时, 在检测时间上, 可以满足实时性的要求.
Abstract:Computer vision has already been widely used in engineering. The circle detection using image processing means significantly in engineering. In order to auto-detect the circle and accurately extract the centre and radius, an improved Hough transform algorithm for circle detection is proposed. The image border is filtered to get the continuous borders. And then the continuous borders are sequenced and equal divided. Only three points are chose for computation and three dimension parameters will be reduced to one dimension, which saves the computational time, memory sources and improves the accuracy. Experiments show the proposed method can realize real time detection and meet the reality needs.
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基金项目:四川省科技支撑计划(2013GZ0032)
引用文本:
陈小艳,王强,李柏林.改进的Hough变换检测圆方法.计算机系统应用,2015,24(8):197-201
CHEN Xiao-Yan,WANG Qiang,LI Bo-Lin.Improved Hough Algorithm for Circle Detection.COMPUTER SYSTEMS APPLICATIONS,2015,24(8):197-201
陈小艳,王强,李柏林.改进的Hough变换检测圆方法.计算机系统应用,2015,24(8):197-201
CHEN Xiao-Yan,WANG Qiang,LI Bo-Lin.Improved Hough Algorithm for Circle Detection.COMPUTER SYSTEMS APPLICATIONS,2015,24(8):197-201