【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.更多还原

【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.更多还原