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。%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.
展开▼
