The continuous zoom optical system has the ability to continuously observe and lock targets during the field of view conversion process, which can be used for target search, tracking, reconnaissance, and early warning. In order to ensure clear imaging of targets at different distances, in addition to controlling the change in magnification, it is also necessary to fine tune the zoom position. This fine-tuning requires precise positioning of the zoom motor, frequent step changes, and start-stop commutation. Therefore, the motor is greatly affected by interference such as friction and torque fluctuations. In addition, oscillations and crawling may occur at low speeds. In response to the above issues, this paper proposes an improved MPC control strategy, adding PID inner loop to the traditional MPC to improve the anti-interference ability of the system. Moreover, this algorithm can effectively handle multivariable problems with constraints, using rolling optimization to determine the current optimal control strategy, thereby improving the position tracking accuracy, antiinterference, and response speed of the DC zoom motor.
Aiming at the problem of complex clouds under the infrared background of the sky and the edges of buildings are likely to cause false alarms in the detection algorithm, an Three-layer four-direction and single-scale local contrast method is proposed. A three-layer window consisting of an inner layer, a middle layer, and an outer layer. The center layer window breaks the previous cognition of fixed-size windows, and uses multi-scale Gaussian filtering to enhance the target . The middle layer window is the isolation layer, its function is to isolate the target and the background area, and it has the ability to adapt to multiple scales of the target, and outer window is used for background extraction. This algorithm uses the idea of cascading magnification and the calculation method of diagonal gray difference, which can effectively enhance the target, suppress the background and background edges, and has good robustness to multi-scale target detection.
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