Checkerboard angle point detection process under complex background

The invention relates to a method for detecting the angular points of checkerboards under a complicated background, and belongs to the technical field of computer information image processing. The method comprises the following steps: firstly, down-sampling an image, then up-sampling the image, dividing the image into three passages RGB at the same time, detecting the regions respectively, extracting the border of the image by adopting Canny operator, and then dividing the image by adopting an adaptive threshold; approximating the rectangles in the image by adopting the Douglas-Peucker method so as to detect the rectangular regions in the image; obtaining the peak of each rectangle after detecting the rectangles, and clustering angular points of the same type; and statistically averaging the angular points of the same type, of which the amount is maximum in a neighbor range to detect the obtained angular points. The invention provides a method for detecting angular points on the basis of rectangles. The metho