This paper builds a real-time infrared target detection system with a visual positioning function based on FPGA, a visual camera, and an infrared camera. Firstly, the whole system is built based on FPGA. The design and implementation of the infrared image acquisition module, a data storage module, SD card module, and image display module are completed. Ping pong operation is used for the data storage modules to realize video stream transmission. The experiment results show that the system built in this paper can collect and display the target in real-time. To improve the system performance, several image processing algorithms are proposed, including an improved median filtering algorithm, linear transformation, and Laplacian sharpening algorithm; a combined algorithm of histogram equalization, Gamma transform, and Laplacian sharpening; a target detection algorithm combined with threshold segmentation and a background difference algorithm; and a visual localization algorithm. Software simulation and FPGA hardware implementation results show the effectiveness of the proposed algorithms.
In recent years, with the increasing demand for multi-source information fusion technology, infrared and visible image fusion technology has been developed rapidly and become an important research direction in the optical information processing field. Combing the advantage of LabVIEW and MATLAB, we proposed a new infrared and visible image fusion system in this paper. An infrared and visible light video image fusion system based on LabVIEW and MATLAB is built. To solve the problem of low infrared image resolution and poor image quality, we proposed an infrared image enhancement algorithm. Experiments result show that the algorithm can enhance the edge features of the infrared image while retaining the internal details of the image. A filtering layered fusion algorithm based on wavelet transform and weighting method is proposed. The algorithm uses anisotropic filtering to decompose the image, calculate each layer's fusion weight, and use the wavelet transform and weighting fusion method to obtain the fused image. Both simulation and actual system experiments prove the effectiveness of the system design and the algorithm.
To improve the spatial resolution of X-ray imaging systems, optical micro-scanning technology was taken into the existing system and the optical micro-scanning X-ray imaging systems is obtained. We can get a low-resolution X-ray image sequence by this system and then reconstruct high-resolution X-ray image. The inaccurate estimates of registration parameters, the inaccurate estimates of the point spread function and the additive Gaussian noise in the lowresolution (LR) image sequence will result in different noise level for each frame and influence the effects of reconstruction. This paper proposed an image super-resolution algorithm for different error levels Per frame, the LR frames are adaptively weighted according to their reliability and the regularization parameter. And then we complete the super-resolution reconstruction. The simulation and experiment results shows the effectiveness of the proposed algorithm.
To improve the spatial resolution of the thermal microscope imaging system, the micro-scanning zero point should be determined. Based on geometric principles, a new technique for zero calibration by using an image registration algorithm is presented. The aim of the technique is to obtain the size and direction of the zero calibration angles by estimating the displacement between two thermal microscope images. The simulations and experiments are conducted separately before and after the zero calibration is determined. Our main results show that the proposed technique can effectively improve the thermal microscope imaging quality. Furthermore this technique can also be applied to other electro-optical imaging systems and improve their resolutions.
KEYWORDS: 3D image processing, 3D scanning, Laser scanners, 3D modeling, 3D displays, Data modeling, Digital signal processing, 3D acquisition, Real time imaging, Data acquisition
With the acceleration of globalization and regionalization of the world economy, port is playing an
increasingly important role for that it is an international transportation hub port interface and the support of
the international trade platform. How to effectively reduce labor costs, improve the working environment,
stable productivity, reduce the production cuts caused by human intervention and improve the management of
real-time monitoring of all the major ports has become a common issue faced. In order to achieve the
automatically stacking and reclaiming process of Stacker-Reclaimer in the bulk material yard, the source of its
control is expected to identify the stockpile in the bulk yard, including length, width, height, the starting
address, destination address, as well as Three-dimensional shape of the stockpile, since in the operation
process, stockpile changes the shape dynamically. As a result, the real-time three-dimensional shape and
coordinate of piles should be achieved. Based on the existing Stacker-Reclaimer in Qinhuangdao Port coal,
we study the large field of view real-time three-dimensional laser scanning imaging theory and technology.
The overall system design to achieving the three-dimensional laser scanning image is presented. The working
principle of the three-dimensional laser scanning imaging system is analysised. Moreover, the parameter
designation, the technical parameters and the composition of the whole system are all given. The research of
the thesis is also used for other large-scale three-dimensional modeling of piles and the volume computing. In
a world, the method has wide application prospect.
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