通过背景初始化、运动目标检测、形态滤波和标记连通域四个步骤实现运动目标的检测。
The whole process of target detection has four step: initializing background, moving target detecting, morphologic filter and signing connected field.
在研究以前二值图像连通算法的基础上，提出了一种基于递归方法的二值图像连通域像素标记算法。
On the foundation of studying former connecting area algorithms, the paper presents a pixel labeled algorithm based on recursive method of connecting area in binary images.
利用最优化阈值分割算法进行图像分割，同时采用序贯算法对连通域进行标记。
Also, it USES optimal thresholding arithmetic to segment image and use sequential arithmetic to mark connected component.
图像处理中采用了数学形态学、差值法、超限领域平均法以及连通域识别与标记算法来实现客流信息的提取。
In image processing, mathematical morphology, frame difference, ultra limits domain method of average and labeling of connected domain is introduced essentially.
图像处理中采用了数学形态学、差值法、超限领域平均法以及连通域识别与标记算法来实现客流信息的提取。
In image processing, mathematical morphology, frame difference, ultra limits domain method of average and labeling of connected domain is introduced essentially.
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