| 1. | A robust steerable pyramid - based image matching algorithm 基于线性不变矩的特征图象配准算法研究 |
| 2. | Registration between remote sensing images base on multi - window cross - correlation 基于分窗口相关的遥感图象配准方法 |
| 3. | A novel feather based image registration algorithm is put forward in this dissertation 图象配准是图象融合的基础。 |
| 4. | The method was proved to be a fast and validate registration algorithm by fmri images 功能磁共振fmri的配准实验证明,该方法不失为一种简单有效的快速图象配准方法。 |
| 5. | The research includes image registration , image fusion and evaluation rules . image registration is the basis of image fusion 研究内容主要为图象配准、图象融合以及融合效果的评价准则。 |
| 6. | And it is a main task for computer vision and image processing to get the accurate subpixel motion information . we introduce bicubic spline surface fitting to the field of image registration 如何得到精确可信的亚象素级运动信息也是计算机视觉和图象配准中所要解块的主要问题之一。 |
| 7. | In the case that there exist great differences among the registered images , the higher performance is proved in the comparison experiments with the current image registration algorithms which base on feather in spatial domain 该算法针对sar图象与多光谱图象差异性较大的特点,采用图象边缘的线性不变矩作为特征矢量进行遥感图象配准。 |
| 8. | Powell algorithm which does not compute gradients and brent algorithm were used to search the optimal rotation and translation parameters , while multi - resolution searching strategy leads to a fast image registration 在寻找最优的旋转和平移参数时,采用了无需计算梯度的powell直接搜索算法和brent算法,并通过多分辨的方式加快图象配准速度。 |
| 9. | As a major part of this research , 3 - d surface matching is of great importance in a variety of areas such as registration of multiple range data sets , virtual reality , medical image registration and molecules structure design of drug 三维曲面的匹配问题作为其中主要的部分,在多视数据拼合、虚拟现实、医学图象配准以及药物分子结构设计等领域有着重要应用。 |
| 10. | Mutual information algorithm use mutual information as a new matching criterion to measure the statistical dependence between the image intensities of corresponding pixels in both images , which is assumed to be maximal if the images are geometrically aligned 互信息法则把信息论中的互信息作为衡量两幅图象配准的相似性测度函数,假设当两幅图象配准时,互信息达到最大值。 |