projection image meaning in Chinese
投影图象
投影像，映像
Examples
- Image automatic adjustment default , vertical , horizontal , projection image automatic adjustment
图像自动修正默认纵向横向映射 - The new representation model takes on the perfect , unique and simple to 2 - d projection . secondly , we point out the problems with previous straight - line extraction , and present a new algorithm for enhancing the accuracy of the parameter extraction of straight lines in a 2 - d projection images
采用均通过空间直线并垂直相交的两平面来表示一条空间直线，与以往的空间直线表示法相比，具有完善性、惟一性、与二维投影关系简单等优点。 - 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。 - This paper studies currently urgent ito auto inspection technology , and brings forward an optimum 1 - d projection image segmentation method based on 2 - d gray histogram , connectivity preserving image size reduction arithmetic and simple , efficient and fast look - up table thinning method . this paper also inspects common defects synthetically using mathematic morphology method , and puts forward a hybrid method of feature matching and image fixed orientation
本文正是研究了当前急需的ito电极图案自动检测技术，提出了一种新的基于二维灰度直方图的最佳一维投影的图像分割方法、连通性保持的图像压缩算法和一种简便有效的快速查表细化处理算法，并综合运用数学形态学的方法对常见的缺陷进行检测等，提出了用特征匹配和图像定位的混合检测方法检测ito电极图案所存在的其他缺陷。