Beacon light optimizing and recognizing denoising method based on spot noise distribution topological characteristic

The invention discloses a beacon light optimizing and recognizing denoising method based on a spot noise distribution topological characteristic, relating to a beacon light optimizing and recognizing denoising method and solving the problem of poor real time caused by large computation amount of the traditional beacon light optimizing and recognizing denoising method. The method comprises the steps of: picking up a beacon light image of the current time by adopting a CCD (Charge Coupled Device) and carrying out threshold segmentation to obtain a light spot centroid distributing image; calculating a semi-circle area discrimination amount delta S3 of a characteristic value vector of the centroid distribution of each light spot, an arc length discrimination amount delta L3 of the characteristic value vector and a centroid coordinate change rate discrimination amount delta C; and judging. Therefore, background light and beacon light are continuously tracked, recognized and denoised. The invention is suitable for optimizing, recognizing and denoising beacon light.