Star extraction of high noise star map with small field of view based on video measurement robot

Star map recognition and extraction is key to automatic astrometric data processing．In view of the high noise characteristics of small field star images captured by video measurement robot, a connectivity algorithm based on reasonable threshold segmentation is proposed to process such star images．The graphic features of four different star images were analyzed, recognition effect of common star point extraction algorithms on real star images were compared．Qualitative and quantitative analysis verified that connected algorithm under threshold segmentation could obtain perfect and ideal star point extraction, better than edge detection algorithm and clustering algorithm．Indoor semi-simulated star images based on real star sky confirmed that this algorithm was accurate and reliable．The root mean square errors in horizontal and vertical directions were 0.025 and 0.021 pixels respectively, meeting needs of high-precision astronomical measurement．