CAJ | 학술논문

研究了图像匹配算法原理，并分析了不同匹配算法类型。根据灰度特征编码的原理，给出了编码流程以及匹配算法 FPGA 实现，在试验中进行了 FPGA 编码并实现了改进的中值滤波算法和灰度特征编码匹配算法。在各种背景环境条件下，利用该算法对可见光视频图像和红外图像的匹配效果进行了试验，实验证明，该匹配跟踪算法容易进行硬件实现，能够达到提高系统实时性的要求。
연구료도상필배산법원리，병분석료불동필배산법류형。근거회도특정편마적원리，급출료편마류정이급필배산법 FPGA 실현，재시험중진행료 FPGA 편마병실현료개진적중치려파산법화회도특정편마필배산법。재각충배경배경조건하，이용해산법대가견광시빈도상화홍외도상적필배효과진행료시험，실험증명，해필배근종산법용역진행경건실현，능구체도제고계통실시성적요구。
The paper studied the principles of image matching algorithms and analyzed the different matching algorithms.By the principle of grayscale features encoding,the improved matching algo-rithm is presented and is realized by FPGA.The improved mid-value filter and matching algorithm based on grayscale features encoding is realized in the experiments.The matching effect is tested for visual image and infrared image under different background conditions.The experiment results show that the matching algorithm is easy for FPGA design and can enhance the real time performance.