魏军, 刘达, 王田苗, 曹莉. 基于段测试的X角点检测与亚像素定位[J]. 机器人, 2011, 33(1): 97-101.
引用本文: 魏军, 刘达, 王田苗, 曹莉. 基于段测试的X角点检测与亚像素定位[J]. 机器人, 2011, 33(1): 97-101.
WEI Jun, LIU Da, WANG Tianmiao, CAO Li. Segment Test Based X Corner Detection and Sub-pixel Localization[J]. ROBOT, 2011, 33(1): 97-101.
Citation: WEI Jun, LIU Da, WANG Tianmiao, CAO Li. Segment Test Based X Corner Detection and Sub-pixel Localization[J]. ROBOT, 2011, 33(1): 97-101.

基于段测试的X角点检测与亚像素定位

Segment Test Based X Corner Detection and Sub-pixel Localization

  • 摘要: 针对X角点快速检测和精确定位要求,提出了一种实时识别、定位X角点的方法:首先,根据X角点图像对称性和亮度分布特征,筛选出候选X角点;随后,对候选X角点进行段测试,确认候选X角点,并检出测试段中位于图像边缘上的像素,进行角点的亚像素定位.与Harris算法比较,该方法能有效检测X角点并排除其他类型角点,具有较高的定位精度和检测速度,可在线实时处理PAL图像.

     

    Abstract: In order to achieve the ability of rapidly detecting and accurately locating X corners,a real-time method to locate X corner is proposed.Firstly,the image is filtered to find X corner candidates according to symmetry and intensity distribution characteristics of X corner image,and then the segment test is performed for each X corner candidate to confirm it's a X corner,find edges and localize corner in sub-pixel.Experiments show that compared with Harris algorithm,the method can detect X corners and eliminate other corners,provides better positioning accuracy and higher detection speed, and has the capability to process PAL images online and in real time.

     

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