A mutual information based 3D non-rigid registration approach was proposed for the registration of deformable CT/MR body abdomen images. The Parzen Windows Density Estimation (PWDE) method is adopted to calculate the ...A mutual information based 3D non-rigid registration approach was proposed for the registration of deformable CT/MR body abdomen images. The Parzen Windows Density Estimation (PWDE) method is adopted to calculate the mutual information between the two modals of CT and MRI abdomen images. By maximizing MI between the CT and MR volume images, the overlapping part of them reaches the biggest, which means that the two body images of CT and MR matches best to each other. Visible Human Project (VHP) Male abdomen CT and MRI Data are used as experimental data sets. The experimental results indicate that this approach of non-rigid 3D registration of CT/MR body abdominal images can be achieved effectively and automatically, without any prior processing procedures such as segmentation and feature extraction, but has a main drawback of very long computation time.展开更多
公路上固定相机拍摄的视频中背景难以自动更新、运动目标难以快速准确识别和车流密度难以快速获得的问题,提出了一种车流密度实时检测算法。首先,将统计直方图法和多帧平均法相结合,提出固定窗口背景自动更新算法来获得视频的背景图像;...公路上固定相机拍摄的视频中背景难以自动更新、运动目标难以快速准确识别和车流密度难以快速获得的问题,提出了一种车流密度实时检测算法。首先,将统计直方图法和多帧平均法相结合,提出固定窗口背景自动更新算法来获得视频的背景图像;其次,使用背景差分法获得前景区域、前景掩码和背景区域;第三,使用腐蚀和膨胀的方法去除微小区域,以及将较大区域内部的空白点进行填充;第四,提出使用行扫描标记算法获得运动目标的最大矩轮廓,并消除运动目标的部分阴影;最后,根据设定阈值过滤掉微小目标,统计瞬时车流量,并根据预设值计算车流密度。该系统使用Visual Studio 2010和Open CV实现,实时效果良好。展开更多
基金An international cooperation project between Shanghai Jiaotong U niversity and Hong Kong Polytechnic University
文摘A mutual information based 3D non-rigid registration approach was proposed for the registration of deformable CT/MR body abdomen images. The Parzen Windows Density Estimation (PWDE) method is adopted to calculate the mutual information between the two modals of CT and MRI abdomen images. By maximizing MI between the CT and MR volume images, the overlapping part of them reaches the biggest, which means that the two body images of CT and MR matches best to each other. Visible Human Project (VHP) Male abdomen CT and MRI Data are used as experimental data sets. The experimental results indicate that this approach of non-rigid 3D registration of CT/MR body abdominal images can be achieved effectively and automatically, without any prior processing procedures such as segmentation and feature extraction, but has a main drawback of very long computation time.
文摘公路上固定相机拍摄的视频中背景难以自动更新、运动目标难以快速准确识别和车流密度难以快速获得的问题,提出了一种车流密度实时检测算法。首先,将统计直方图法和多帧平均法相结合,提出固定窗口背景自动更新算法来获得视频的背景图像;其次,使用背景差分法获得前景区域、前景掩码和背景区域;第三,使用腐蚀和膨胀的方法去除微小区域,以及将较大区域内部的空白点进行填充;第四,提出使用行扫描标记算法获得运动目标的最大矩轮廓,并消除运动目标的部分阴影;最后,根据设定阈值过滤掉微小目标,统计瞬时车流量,并根据预设值计算车流密度。该系统使用Visual Studio 2010和Open CV实现,实时效果良好。
