图像定位 meaning in Chinese
framing
Examples
- Location model for pixels in spaceborne sar imagery and simulation
星载合成孔径雷达图像定位模型与仿真 - Finally , i design the system of modeling asm model and face searching which landmark the images in the training sets , build models and search face using multi - resolution methods . the system proved good in landmarking face images , modeling asm model automatically and analyzing and interpreting images
最后，设计了asm模型建模以及人脸搜索系统，通过对大量人脸图像的标定训练，完成建立模型的过程，并且以多分辨率搜索方式对人脸图像定位解释。 - At first , this article introduces the digital imaging principle of the sar image , deduces the mathematic expression of the range - doppler model . on the base of analysis the r - d model function in image location , we ascertained the direct location based of the sar assistant data and verified the algorithm
本文首先介绍了sar数字成像原理，详细推导了距离?多普勒( r - d )模型的数学表达式，在分析了r - d模型在图像定位中作用的基础上，系统给出了基于sar辅助数据直接定位的原理与方法，并对算法进行了验证。 - During design and implementation of ito aoi system , we give design patterns and realization details of every process , and adopt optimum 1 - d projection image segmentation method based on 2 - d gray histogram , in order to obtain as much information as 2 - d gray histogram , we realize 1 - d searching speed , improve speed and quality of segmentation ; connectivity preserving image size reduction arithmetic decreases information storage ; efficient and fast look - up table thinning method accelerates feature extraction ; and hybrid method of feature matching and image fixed orientation may exactly inspect defects of ito patterns
采用基于二维灰度直方图的最佳一维投影的图像分割方法，利用二维信息，实行一维搜索，提高了分割的速度，保证了分割的质量；对容量所需很大的ito电极图案利用有效的连通性保持的图像压缩算法，在保证检测准确性的前提下，大大减小了存储容量，使得计算量相应的大幅减少；利用快速的查表细化算法，加快了电极图案的特征提取；运用特征匹配和图像定位的混合检测方法可以准确的检测出ito电极图案中所存在的缺陷。 - A three - step location approach combining coarse location with fine location and result correction is presented , and an extant iris location algorithm is improved in order to fasten the speed of iris location and make the iris location more robust . experiments show that the method has good performance of sub - pixel precision and uses less time compared with original iris location method . the three - step location approach can fasten location speed and decrease the blindness of search computation , and the improved iris location algorithm is reasonably more robust than original one
为了提高虹膜定位的速度及精度,论文提出了一种粗定位,精定位与结果修正三步相结合的定位方法,用以进行虹膜定位,该方法充分考虑到了虹膜图像中存在的各种干扰,实验结果表明,用三步法进行虹膜定位可以减少搜索计算的盲目性,加快定位速度,对虹膜图像定位结果的精度有较大提高,并且具有较强的适应性。