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The Implementation of Image Matching System Based on Embedded Processor

Author: YangFeng
Tutor: ChenWei
School: Wuhan University of Technology
Course: Communication and Information System
Keywords: Image matching Phase correlation Fast Fourier transform Field Programmable Gate Array
CLC: TP391.41
Type: Master's thesis
Year: 2006
Downloads: 229
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Abstract


With the rapid development of science and technology , image matching technology has become a very important technology in the field of image information processing . It is not only the key technologies in image measurement system is also targeting the most basic method . Image matching algorithm has made great progress , but due to the limitations of the actual hardware , making many excellent algorithms still can only stay in the theoretical sense , can not be applied to the specific practice . How to optimize the existing algorithms, so that it has real value , a meaningful subject for study . The hardware on the basis of the \The apparatus can not only match detection on the image position shift occurs , but also on the occurrence of the angle of rotation of the image match detection . Use of logarithmic polar coordinate transform - based method , the angle of rotation problems into easy solving the pan problems . The most critical work of this paper is to control the timing of image acquisition and matching algorithm optimization implementation . The camera on the system using random trigger acquisition mode , which requires the synchronization signal information extracted from the video signal collected , and then go to control the camera triggering and synchronization timing , so as to achieve the effect of camera trigger random collection . All this work is completed by the programmable logic device FPGA . FFT / IFFT transform algorithm is the most time-consuming , and the characteristics of the FPGA chip parallel and pipelined architecture to achieve . This hardware configuration structure can achieve both process complex algorithms , the running speed of the algorithm can achieve optimal . The final test results show that : the program not only has a strong flexibility and versatility , but also has good real-time performance . Be able to quickly and effectively to pan or rotate the image to the correct match detection accuracy rate above 99% .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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