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- Methods The medical image sequences were assumed to be in motion, and the pseudo-optical flow field was estimated by using iterative condition mode based on maximum a posteriori probability. 方法把医学序列图像假想为运动序列,然后根据最大后验规则,利用迭代条件模型来求解这个伪运动序列的伪光流场,达到消除帧间相关的目的。
- Pseudo-optical flow estimation for medical image sequences based on maximum a posteriori probability and Gibbs random field 基于吉伯斯随机场和最大后验概率的医学序列图像伪光流估计
- medical image sequences 医学图像序列
- Beijing MIT Medical Image Technology Co., Ltd. 北京迈特医学影像技术开发公司。
- Medical Image Processing Lab - SUNY Stony Brook. 医学图象处理实验室。
- FuJian Medical Image WebSite ht. 福建医学影像网。
- Fundamentals of Medical Image Registration. 医学成像的限制基础。
- Ming zhi Medical Image Technology Co., Ltd. 明志医学影像科技有限公司。
- Research and Implementation of Lossless Progressive Transmission of Medical Image Sequence 连续帧医学图像无损渐进传输的研究与实现
- Semantic Understanding Dynamic Image Sequences, Natural Sciences Foundationof China (Grant No. 动态图象序列的语义理解,国家重点自然科学基金(课题编号
- Section for Medical Image Analysis and Pattern Recognition ENGLISH. 医学图象分析和图象识别部。
- A new detection method for moving dim small targets in infrared image sequences is presented. 提出了一种红外图像序列中运动弱小目标检测的新方法。
- Fundamentals of Medical Image Processing and Analysis. 医学成像处理和分析基础。
- At last, the POCS method is used to reconstruct high-resolution image from these aliased image sequences. 最后该算法采用POCS方法进行序列图像的高分辨率重建。
- Objective Apply wavelet transform to denoise medical image. 摘要目的利用小波变换进行医学图像去噪。
- For the detection of dim moving targets in the infrared image sequences,the wavelet transform is presented here. 研究了红外序列图像中弱小目标的检测。
- Two low SNR image sequences energy accumulation algorithms in common use are discussed. 讨论了两种常用的低信噪比图像序列能量累加算法,一种是针对帧间运动速度较小的多帧累加;
- A novel approach is proposed for locating lower limber joints of human body from image sequences without markers. 提出了一种下肢关节点自动定位方法,从无关节标记的人体运动图像序列中定位下肢关节点。
- The SVD method was used to process the infrared image sequences obtained in experiments. 用奇异值分解法对实验中采集的红外热像序列进行处理;
- A new method for the detection of moving dim targets in cloud clutter image sequences is proposed. 摘要提出了云杂波背景下序列图像中弱目标检测新方法。