Image fusion has been widely used in medical, computer vision and other fields. However, the traditional based on PC, FPGA and DSP image fusion system cannot satisfy requirements of portable, low power consumption and low cost.Raspberry Pi is a new type of microcomputer based on ARM, compared with traditional image fusion system, Raspberry Pi volume, price and power consumption is very low. With Raspberry Pi as core, and special camera of Raspberry Pi, router, PC, mouse, keyboard hardware, C++, OpenCV software, and Yeelink cloud platform build innovative image fusion system is able to meet small volume, low power and price requirements. Yeelink is a new type of Internet of things, providing access to sensor data, storage and display services. The terminal user can observe required information in real time through local area network. NonSubsampledContourlet Transform (NSCT) with multi-scale, multi-direction, multi-resolution and good shift invariance. Because of down sampling, traditional Contourlet transform will cause Gibbs phenomenon, NSCT can overcome the disadvantage, obtaining better fusion image. This paper makes full use of characteristic of Raspberry Pi and Yeelink, construct a new image fusion and scene monitoring system, images is processed by Wavelet, Contourlet and NSCT algorithms, finally analysis the results. The new system has great research and application value.
The dark current noise existing in the CCD of the astronomical observation camera has a serious influence on its working performance, reducing the working temperature of CCD can suppress the influence of dark current effectively. By analyzing the relationship between the CCD chip and the dark current noise, the optimum working temperature of the red band CCD focal plane is identified as -75℃. According to the refrigeration temperature, a cooling control system for focal plane based on a thermoelectric cooler (TEC) was designed. It is required that the system can achieve high precision temperature control for the target. In the cooling control system, the 80C32 microcontroller was used as its systematic core processor. The advanced PID control algorithm is adopted to control the temperature of the top end of TEC. The bottom end of the TEC setting a constant value according to the target temperature used to assist the upper TEC to control the temperature. The experimental results show that the cooling system satisfies the requirements of the focal plane for the astronomical observation camera, it can reach the working temperature of -75℃ and the accuracy of ±2℃.