Infrared Image Processing And Application Of Simulation Technology

In modern dogfight, high maneuverability of the target calls for higher image processing abilities of the air-to-air IR Missiles.The image processing technique is one of the keys in IR imaging seeker. It influences the capture and identification of the target directly. Based on gray correlation analyse edge detection method and canny algorithm, a new valuable edge detection strategy is proposed in this thesis. Compared with gradient image, "gray correlation degree image" as a novel conception is put forward and discussed. The edge direction can be determined according to the gray correlation degree sub-images. Non minimum suppression and edge connection are carried out along various orientations of the image to get thin continuous edge.Several simplest edge detection algorithms based on gradient operation, grey relational analysis and mathematical morphology are developed in this thesis to provide real-time useable edge for tracing stage. The formulas are reasoned out and compared with the classical operators. Simulation results show that the proposed algorithms extract edges quickly and meet the engineering demands of the IR air-to-air missiles.To test and evaluate the IR seeker, study on IR scene image simulation is also necessary. The design ideas and implementation method to generate dynamic IR images with computer are addressed here. OpenGL graphics technique, modeling of the "sky dome", MilkShape 3D creation method, principle of particle system are discussed. These techniques are used to construct sky background, fighter plane, trail and IR jamming respectively in the IR scene simulation system. The real-time scene's IR images produced by this system are true to nature and have good vision effect.