针对传统车辆检索方法中存在准确性和区分度较低的问题,提出了一个基于改进SURF(speeded up robust features)算法的视频车辆检索方法。在车辆视频关键帧提取的基础上,根据改进SURF算法完成车辆图像的特征提取及匹配,其中包含改进FAST(f...针对传统车辆检索方法中存在准确性和区分度较低的问题,提出了一个基于改进SURF(speeded up robust features)算法的视频车辆检索方法。在车辆视频关键帧提取的基础上,根据改进SURF算法完成车辆图像的特征提取及匹配,其中包含改进FAST(features from accelerated segment test)特征点检测、SURF特征向量提取以及最近邻查询方法来进行特征点的匹配;通过计算比较待检索车辆图像与数据库车辆图像的相似度,算法完成图像筛选并反馈检索结果。实验结果表明:针对交通监控视频中待检索车辆,该方法能够较为准确地进行检索并反馈结果。展开更多
提出一种新的小波域半盲数字水印算法:首先对图像进行小波分解,然后使用尺度交互式特征检测模型(Scale interaction model for feature detection)提取逼近子图的特征点,并由特征点构造相应的小波域特征树,最后在特征树的所有节点中嵌...提出一种新的小波域半盲数字水印算法:首先对图像进行小波分解,然后使用尺度交互式特征检测模型(Scale interaction model for feature detection)提取逼近子图的特征点,并由特征点构造相应的小波域特征树,最后在特征树的所有节点中嵌入二值水印信息.根据特征点的位置信息可以有效地提取水印序列.由于水印信息被嵌入到图像的特征之中,故对JPEG,JPEG2000以及高斯白噪音等多种处理具有较强的鲁棒性,是一种新型的第二代水印算法.展开更多
Subcellular localization of proteins can provide key hints to infer their functions and structures in cells. With the breakthrough of recent molecule imaging techniques, the usage of 2D bioimages has become increasing...Subcellular localization of proteins can provide key hints to infer their functions and structures in cells. With the breakthrough of recent molecule imaging techniques, the usage of 2D bioimages has become increasingly popular in automatically analyzing the protein subcellular location pat- terns. Compared with the widely used protein 1D amino acid sequence data, the images of protein distribution are more intuitive and interpretable, making the images a better choice at many applications for revealing the dynamic char- acteristics of proteins, such as detecting protein translocation and quantification of proteins. In this paper, we systemati- cally reviewed the recent progresses in the field of automated image-based protein subcellular location prediction, and clas- sified them into four categories including growing of bioim- age databases, description of subcellular location distribution patterns, classification methods, and applications of the pre- diction systems. Besides, we also discussed some potential directions in this field.展开更多
文摘针对传统车辆检索方法中存在准确性和区分度较低的问题,提出了一个基于改进SURF(speeded up robust features)算法的视频车辆检索方法。在车辆视频关键帧提取的基础上,根据改进SURF算法完成车辆图像的特征提取及匹配,其中包含改进FAST(features from accelerated segment test)特征点检测、SURF特征向量提取以及最近邻查询方法来进行特征点的匹配;通过计算比较待检索车辆图像与数据库车辆图像的相似度,算法完成图像筛选并反馈检索结果。实验结果表明:针对交通监控视频中待检索车辆,该方法能够较为准确地进行检索并反馈结果。
文摘提出一种新的小波域半盲数字水印算法:首先对图像进行小波分解,然后使用尺度交互式特征检测模型(Scale interaction model for feature detection)提取逼近子图的特征点,并由特征点构造相应的小波域特征树,最后在特征树的所有节点中嵌入二值水印信息.根据特征点的位置信息可以有效地提取水印序列.由于水印信息被嵌入到图像的特征之中,故对JPEG,JPEG2000以及高斯白噪音等多种处理具有较强的鲁棒性,是一种新型的第二代水印算法.
文摘Subcellular localization of proteins can provide key hints to infer their functions and structures in cells. With the breakthrough of recent molecule imaging techniques, the usage of 2D bioimages has become increasingly popular in automatically analyzing the protein subcellular location pat- terns. Compared with the widely used protein 1D amino acid sequence data, the images of protein distribution are more intuitive and interpretable, making the images a better choice at many applications for revealing the dynamic char- acteristics of proteins, such as detecting protein translocation and quantification of proteins. In this paper, we systemati- cally reviewed the recent progresses in the field of automated image-based protein subcellular location prediction, and clas- sified them into four categories including growing of bioim- age databases, description of subcellular location distribution patterns, classification methods, and applications of the pre- diction systems. Besides, we also discussed some potential directions in this field.