欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
为了准确地划分运动目标和背景区域,提出一种自适应阈值的运动目标提取算法,对现有基于背景差的提取算法进行改进。本算法将运动目标和背景作为两个聚类,对图像中的点按像素灰度进行分类,以聚类间的方根—算术均值距离最大作为分割阈值选择的准则,使得运动目标提取算法中二值化阈值能够自动更新,从而实现对运动目标的准确完整提取。实验结果表明,该算法能够较准确快速地提取运动目标,并对环境亮度突变、背景存在微小运动等情况具有较好的鲁棒性。
英文摘要：
This paper presented a moving objects extraction algorithm based on adaptive threshold, which had improved extraction algorithm based on background subtraction. Moving objects and background were regarded as two clusters, and classified the intensity values at the pixels, then adopted the max clusters’ square root arithmetic mean divergence as the threshold selection rule. So the threshold could be automatic update, in order to accomplish exactly and perfectly extract. Simulation results indicate that motion objects can be extract correctly and fast by using the new algorithm, even in the case of dynamic natural environments since they include motions like swaying vegetation, breaking luminance etc.
同期刊论文项目
同项目期刊论文
位置：