Study on Image Processing Technology in Imaging Laser Detection System

With the extensive use of laser equipment and weapons systems, such as laser range finder and laser guided weapons, the energy of each laser source is greatly different. So the requirement of higher dynamic range is presented in the laser detection system. For the problem of insufficient dynamic range in Imaging Laser Detection System (ILDS), a method by image processing to extend the system dynamic range is discussed based on the existing hardware of wide-angle telecentric fish-eye lens and CMOS camera device. Frame subtraction technique is commonly used in ILDS to recognize and locate the laser spot by filtering out background interference and noise. On this basis, it is proposed that in view of the receive laser energy's difference, uses the different method to expand the dynamic range. When the laser energy is low, the laser signal that may be submerged in noise can not be accurately interpreted and precisely localized. The technique of fuzzy weighted averaging filtering is used to get rid of noise and enhance detection sensitivity of the system, namely expansion detection lower limit. When the incident laser is strong, because the fish eye optical system would produce the reflection disturbance light, the imaging surface may be interfered by anomalous disturbance facula. Spot matching pattern recognition method is presented to remove the mixed light disturbance and enhance the recognition upper limit. The experimental results show that these methods can effectively improve the system's dynamic range and has a certain value of applied research.