三维曲面图像无缝拼接方法的研究与仿真

研究三维曲面图像的无缝拼接问题。针对三维曲面图像拼接过程中,多个曲面图像之间的重叠区域由于像素的灰度和梯度等特征存在较大差异,像素不匹配,拼接后的重叠区域图像由于这种像素差异的存在,会存在明显图像裂缝的问题。为了解决这个问题,提出了一种基于交叉匹配的曲面图像拼接算法,该算法以互信息作为相似性测度,对待配准曲面图像的空间变换参数进行优化,运用空间曲面图像插值技术完成最后的三维曲面图像的融合,实现三维曲面图像的无缝拼接。实验表明,本文的方法能实现差异较大曲面图像的无缝拼接,取得了不错的效果。

3D Surface Images Seamless Method Research and Simulation

Research the seamless of 3-d surface image.In 3-d surface image mosaicing process,there are many differences in the surfaces between the overlap regions of the image because of gray and gradient pixels characteristics.When the overlapping areas are joined together,obvious cracks exist because the image pixels differences.In order to solve this problem,this paper proposed a genetic algorithm based on the surface image mosaicing algorithm.The mutual information was usde as the similarity measure to optimize the space transform parameters of the registration surface image.Space surface image interpolation techniques were used in the final 3-d surface image fusion to realize 3-d surface images seamless.The experimental results show that the proposed method can achieve the surface image seamless with difference.