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Image Recognition System Based on Volume Holographic

Author: TianFeng
Tutor: ZhaoYeQuan
School: Harbin Institute of Technology
Course: Aircraft design
Keywords: Volume holographic storage Image Recognition Correlation coefficient Threshold
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 49
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Abstract


With the continuous advancement of science and technology, the reality of the storage capacity and reading speed continuously put forward higher requirements. Volume holographic storage technology both in read speed and storage density are other storage insurmountable advantages, and therefore become the hot spot of the world's scientists study. Recently, with the the human holographic storage technology research, the performance of the holographic storage has made significant research, making based on the body holographic storage pattern recognition has become an emerging research focus, but also there are many issues need to study. Therefore, the purpose of this article is to do some research work of some of the problems in pattern recognition based on volume holographic storage. Bragg selectivity of volume holographic storage technology theoretical analysis, and given by numerical calculation of the diffraction efficiency with Prague mismatch values ??change curve, for body storage systems point of view, complex subsystems provide a theoretical basis. Holographic storage density in order to improve its control accuracy, the two-lens system used in the confocal method, and gives its schematic. With regard to the noise problem, the paper mainly because of the different refractive index of the optical lens and air caused by noise, and proposed a method of anti-reflection film with a plated. And an analysis of the CCD and the spatial light modulator, the different parameters of the system noise, and calculate different parameters of the CCD and the spatial light modulator system crosstalk degrees. Summarizes the equalization of the necessity to perform image gradation in the identification system. Second order Laplacian edge extraction and obtained by contrast, is more conducive to the autocorrelation peak identification, use of regional correlation peak position. The paper also gives the image library, image and black image showing the peaks from the experimental proof of the optical parallel computing ability and has the advantage in terms of pattern recognition. Describes the system used in the control system, the control system diagram of the control interface of the displacement platform, a shutter hardware circuit, the correlation peak location and identification of program flowchart. In addition, the reproduction of the 100 images library, 200 image library, and 1500 image library peak. A detailed font image library and aerial image library pattern recognition experiments threshold setting accuracy. And compare the recognition accuracy rate is different in the two cases and the library inside and outside recognition accuracy ranging, and proposed solutions.

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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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