Cryogenic Target To Interfere In The Image Digital Image Processing

The interference pattern used for in-situ characterization of cryotarget is one of the most important tools of cryotarget research. Based on cryotarget interference patterns of different time, the fuel distribution in the cryotarget can be deduced.To maintain the extreme temperature and pressure environment of the cryotarget, the target vibration is non-avoidable which leads to interference pattern difference called interference pattern vibration. Different from traditional image vibration, this is caused by the change of one interference light's path. This paper introduces a method to get non-vibration interference pattern by locating the target's spatial position. To find the interference patterns obtained when the target is at the same spatial position, the non-vibration interference pattern can be picked out. Some image processing algorithms such as image matching are introduced to achieve the goal. Applying this method in experiments, non-vibration interference patterns are obtained for further calculation.Based on non-vibration interference patterns, this paper further introduces a series of image processing algorithms including histogram adjustment, binarization, thinning to calculate the average fringe distance in the interference pattern.Further more, this paper introduces a method to calculate the distribution of fuel thickness in the cryotarget. With two non-vibration interference patterns obtained before and after the target filled with fuel, three components in each of their Fourier spectrums can be obtained. Filtering two components and keeping the one with the phase information, we transform the Fourier spectrum back to time domain. The phase shift of two interference pattern can be deduced by the two filtered images and the distribution of fuel thickness can be further deduced according to the phase shift.In the end, a conclusion is made and future work is discussed.