基于区域同名度矩阵的连续帧图像配准

对由空中飘弋平台获得的连续帧图像进行配准是个新的难题,但利用空中飘弋平台可获得恶劣环境下的空拍图像,若能配准拼接成大视野图像,则可供进一步研究使用.由于多种因素的影响,所获得的连续帧图像存在旋转、缩放、平移、含噪声、形变等特点,为此,若采用迭代阈值的方法来进行图像分割,并以十字链表形式进行存储表达;然后构建连续帧图像间的特征区域同名度矩阵,再通过遍历同名度矩阵来自动形成连续帧图像间的同名区域对;最后计算得出连续帧图像旋转、缩放、平移配准参数,则可较好地解决此问题.对一定数量的连续帧图像进行的配准实验表明,该算法不仅鲁棒性强、稳定有效,而且计算速度快,具有一定的理论和应用价值.

A New Sequential Frame Image Registration Based on Area Homonymy Matrix

The registration of sequential images acquired through floating aerial platform is a difficult problem up to date. The floating aerial platform can get sequential images of the down-looking scene in bad environment, with which the wide visual field image can be got by stitching for further research . Influenced by many factors, sequential images have the transformation of rotation, unequal scaling and translation, noise and geometric deforming. In order to solve this problem, this paper proposes a new algorithm. In the algorithm, firstly, segment the image with the iterative threshold method and use crossing linker to record and express the characteristic area information. Secondly, construct the homonymy matrix of characteristic areas and search the homonymy matrix to get matching pairs of homonymy areas between sequential images automatically, Lastly, calculate the registration parameters of sequential images including rotating, scaling and translation. The experimental result demonstrates this algorithm is robust, efficient and reliable for certain amount of sequential images, and has theoretic value and practical significance.