基于信息熵和灰度相关的图像拼接算法

Information entropy and gray-scale interrelated based on imaging mosaicking algorithm

提出一种基于信息熵和灰度相关的全景重叠图拼接算法。该算法综合了基于灰度相关和信息熵的优点。通过匹配连续区域的熵的兰氏距离获得了比较精确的定位,利用灰度相关进行了匹配验证和精确调整了两幅待拼接图像。实验表明,算法原理简单、拼接速度快,对图像亮度差异具有较强的抗干扰能力,鲁棒性好。

The entropy based on information related to the gray and overlapping panoramic mosaic map algorithm is presented.The algorithm is based on gray-scale integrated and relevant information entropy advantages,regional consecutive match on the entropy of Portland's distance is more precise positioning,matching gray relevant and accurate test are reused to be adjusted two splicing images.Experiments show that the algorithm is simple in principle, splicing speed,the image brightness variations with strong anti-jamming capabilities,better robustness.