Starry sky image object track-detecting method

Abstract

The invention discloses a starry sky image object track-detecting method. The method comprise the following steps: firstly, carrying out frame difference accumulation on five continuous images among sThe invention discloses a starry sky image object track-detecting method. The method comprise the following steps: firstly, carrying out frame difference accumulation on five continuous images among sequence images and adopting a self-adaptive threshold value t to carry out binarization processing of 0 and 1 on the accumulated images; evenly dividing a 1,024*1,024 image I into 32*32 small blocks;equence images and adopting a self-adaptive threshold value t to carry out binarization processing of 0 and 1 on the accumulated images; evenly dividing a 1,024*1,024 image I into 32*32 small blocks;combining and connecting all pixels on the image blocks one by one, and calculating theta and rho to establish a nonuniform quantizing accumulator array H(rho, theta) of a parameter space; moreover, acombining and connecting all pixels on the image blocks one by one, and calculating theta and rho to establish a nonuniform quantizing accumulator array H(rho, theta) of a parameter space; moreover, adding 1 to the address of a corresponding accumulator array H(rho, theta), namely H(rho, theta) is equal to H(rho, theta) plus 1, till the conversion of all points is finished; and finding the local mdding 1 to the address of a corresponding accumulator array H(rho, theta), namely H(rho, theta) is equal to H(rho, theta) plus 1, till the conversion of all points is finished; and finding the local maximum value of the accumulator array H(rho, theta) in the parameter space and finding out the values of linear parameters theta andrRho to determine a straight line. By dividing an object track intoaximum value of the accumulator array H(rho, theta) in the parameter space and finding out the values of linear parameters theta andrRho to determine a straight line. By dividing an object track intosmaller blocks and adopting nonuniformization to improve the prior Hough conversion, the starry sky image object track-detecting method realizes the detection of small objects in starry sky and reducesmaller blocks and adopting nonuniformization to improve the prior Hough conversion, the starry sky image object track-detecting method realizes the detection of small objects in starry sky and reduces calculation amount and memory space.s calculation amount and memory space.

Description

technical field [0001] The invention relates to a method for processing astronomical images, in particular to a method for detecting motion tracks of weak and small moving targets in starry sky background images. Background technique [0002] In the background of the starry sky, the imaging target is far away from the imaging equipment, so the area of ​​the imaging image of the target is small, and there is no shape structure information and texture information. At the same time, due to the influence of the detection equipment itself, the signal-to-noise ratio of the image is low. Therefore, it has important research significance to detect moving objects under the condition of low signal-to-noise ratio. [0003] The document "A Method for Detection and Tracking of Point Targets with Low SNR in Fast Sequence Images, Journal of Xidian University, 1999.12, 732-736" discloses a trajectory search method based on multi-level hypothesis space. The idea of ​​classification is to su...

AI Technical Summary

Problems solved by technology

This method has a better detection effect under the set detection rate and false alarm rate, but due to the need for space search, the amount of calculation and storage is large, and the real-time performance is poor, and generally the target movement speed is required to be less than 1 pixel, otherwise the search range becomes larger, the amount of computation increases exponentially

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