郊外低对比度图像线特征提取算法研究

摘要

Because scene matching system has the characteristic of high precision,it is widely used in all kinds of long-range precision end guidance system.There are big contrast differences between reference image and real-time image due to changes of natural conditions,so it is more difficult to match scenes.Based on the traditional feature extraction,for suburban scene with artificial scene,linear feature is improved by Hough transform and mathematical morphology to improve the matching quality.The effectiveness of this algorithm are verified through the simulation analysis with real scene images.%景象匹配系统由于其精度高的特点,广泛应用于各种远程精确末制导系统.由于成像时的自然条件变化,使得基准图与实时图之间存在较大的对比度差别,增大了匹配难度.本文基于传统的特征提取,针对具有人工景物的郊外景象,利用Hough变换和数学形态学进行线特征的改进,从而提升了匹配质量.通过对实际情景图像的仿真分析,验证了该算法的有效性.