24 October 2017 A new image fusion and monitored control system based on Raspberry Pi and Yeelink platform
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Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104622E (2017) https://doi.org/10.1117/12.2284474
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China
Abstract
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.
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Wei Gao, Wei Gao, Chao Shen, Chao Shen, Zongxi Song, Zongxi Song, Lijun Dan, Lijun Dan, Fengtao Wang, Fengtao Wang, Yuqing He, Yuqing He, } "A new image fusion and monitored control system based on Raspberry Pi and Yeelink platform", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622E (24 October 2017); doi: 10.1117/12.2284474; https://doi.org/10.1117/12.2284474
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