checking phase meaning in Chinese
校核阶段
Examples
- However , svm theory performance has been validated in many practical applications , there are still some drawbacks . for example : train speed is slow , algorithm is complex and check phase operation is large , etc . according to above problems , this dissertation mainly focuses on the following research work , especially in svm algorithm research
尽管svm理论的性能在许多实际问题的应用中得到了验证，但是该算法在计算上存在着一些问题，包括训练算法速度慢、算法复杂而难以实现以及检测阶段运算量大等等。 - The paper recounts implementing thoughts of this system and advances some improved algorithm in pretreating image , for example image enforce , segmentation of image and so on . we get rather satisfying effect by using these algorithms . in initial phase of the system , in order to get the information of field and automobile " s edge , the paper introduces detecting algorithm to confirm end - points of field , improved hough algorithm , and worm - following algorithm to pick up edge . in real - time checking phase , the most importance aim is to identify sign circles , so we advance a qiuck searching algorithm based on threshold
文中详叙了系统的实现思路，对于预处理阶段采用的图像处理技术，如图像增强、图像分割等，提出了一些相应的改进算法，取得了较满意的处理效果；在系统初始化阶段，为了获取场地的端点信息和汽车边缘信息，分别介绍了自动确定场地端点位置的检测算法、改进的hough变换算法和提取区域边缘的“虫随法” ；在系统的实时检测阶段，最主要的目的是识别检测标志圆，为此，文中提出了基于阈值的快速搜索算法，有效的提高了目标物体区域的提取和识别速度。