Research on Image Processing Algorithms of Image Stabilization Testing for Sighting Telescope Based on Cross Lines

Principle of image stabilization testing for sighting telescope based on collimator and CCD is analyzed, and image processing algorithms for stabilization image based on cross lines are researched including power integration algorithm based on grey integration and linear fitting algorithm based on least square. Power integration algorithm with advantage of definite physical interpretation and simple calculating procedure can quickly acquire the centre of cross lines by way of searching points with maximum energy, but its accuracy and repeatability are not ideal because of noise interference. Linear fitting algorithm based on power algorithm locates the centre of cross lines by means of fitting two vertical cross lines and calculating their cross-point. Theoretical analysis and testing research show that linear fitting algorithm with higher precision and stability is ideal image processing algorithms in image stabilizing testing for sighting telescope based on cross lines.