CAJ | 학술논문

大量物体具有圆弧轮廓,可以通过探测圆弧来识别物体的存在,以及应用于产品质量评估、在线检测和机器人视觉等领域.文章研究了基于图像传感器的复杂背景下的圆弧检测方法,提出一种圆弧检测新方法.传统的霍夫变换最大特点是可靠性高,在噪声、变形、甚至部分区域丢失的状态下仍然能够取得理想的结果,但缺点是计算复杂度高,资源需求大.本文所提出的方法降低了计算复杂性和对资源的需求.实验结果表明该方法快速、准确、有效.
대량물체구유원호륜곽,가이통과탐측원호래식별물체적존재,이급응용우산품질량평고、재선검측화궤기인시각등영역.문장연구료기우도상전감기적복잡배경하적원호검측방법,제출일충원호검측신방법.전통적곽부변환최대특점시가고성고,재조성、변형、심지부분구역주실적상태하잉연능구취득이상적결과,단결점시계산복잡도고,자원수구대.본문소제출적방법강저료계산복잡성화대자원적수구.실험결과표명해방법쾌속、준학、유효.
Circular-arc detection in digital images is very important in the process of shape recognition. This paper makes the research in circular-arc detection methods under complex circumstance. Some circle detection methods have already been applied in the field of image processing and pattern recognition. An efficient circular-arc detection method (ECDM) is proposed. ECDM is a robust method under complex circumstance. Computation time and recognition ratio have been improved and are applicable to the real-time application. Images with complex background are collected to test the performance of ECDM. Experimental results demonstrate that ECDM is better in accuracy than other existing methods, and objects with circular-arcs can be detected efficiently under complex circumstance.