Contextual dominant color name extraction
    1.
    发明授权
    Contextual dominant color name extraction 有权
    语境主要颜色名称提取

    公开(公告)号:US08873845B2

    公开(公告)日:2014-10-28

    申请号:US13569333

    申请日:2012-08-08

    IPC分类号: G06K9/00 G06K9/34

    CPC分类号: G06F17/3025

    摘要: Dominant color names may be extracted from an image by analyzing spatial-context of pixels contained in the image. A dominant color region may be defined by taking a double-threshold approach that addresses ambiguous color regions and a degree of confidence that each pixel belongs in the dominant color region. Affiliation maps and binary maps may be used to generate the dominant color region. Images may be converted to a saliency map, from which a region of interest may be assigned a dominant color name. Image search results may be filtered by the dominant color name associated with the image.

    摘要翻译: 可以通过分析包含在图像中的像素的空间上下文从图像中提取主色颜色名称。 主色区域可以通过采用双阈值方法来定义,所述双阈值方法解决不确定的颜色区域和每个像素属于主色区域的置信度。 可以使用隶属关系图和二进制图来生成主色区域。 图像可以转换为显着图,可以从其中将感兴趣区域分配为主要颜色名称。 图像搜索结果可能会被与图像相关联的主要颜色名称过滤。

    Preparation method of rocuronium
    5.
    发明授权
    Preparation method of rocuronium 有权
    罗库溴铵的制备方法

    公开(公告)号:US09067965B2

    公开(公告)日:2015-06-30

    申请号:US13991316

    申请日:2011-01-26

    IPC分类号: C07J43/00

    CPC分类号: C07J43/003

    摘要: A method for preparing rocuronium is disclosed. 2β-(4-Morpholinyl)-16β-(1-pyrrolidinyl)-5α-androstan-3α-ol-17β-acetate is used as a starting material and is directly reacted with 3-bromopropene at ambient temperature to produce rocuronium.

    摘要翻译: 公开了一种制备罗库溴铵的方法。 2&bgr--(4-吗啉基)-16&bgr-(1-吡咯烷基)-5α-雄甾烷-3α-醇-17β-乙酸乙酯作为起始原料,并与环境温度下的3-溴丙烯直接反应生成罗库溴铵 。

    Method for purifying rocuronium bromide
    6.
    发明授权
    Method for purifying rocuronium bromide 有权
    罗库溴铵净化方法

    公开(公告)号:US09024013B2

    公开(公告)日:2015-05-05

    申请号:US14122679

    申请日:2011-04-25

    IPC分类号: C07J43/00

    CPC分类号: C07J43/003 C07J43/00

    摘要: Provided is a method for purifying rocuronium bromide, which comprises: formulating crude rocuronium bromide to be purified into an aqueous solution, distilling off excess residue solvents at reduced pressure, absorbing by adding active carbon or silica gel, then filtrating, quick freezing the filtrate into ice, and then lyophilizing to obtain rocuronium bromide.

    摘要翻译: 本发明提供了罗苏溴铵的纯化方法,其特征在于,将粗制的罗库溴铵配制成水溶液,减压蒸馏除去过剩的残留溶剂,通过加入活性炭或硅胶吸收,然后过滤,将滤液快速冷冻 冰,然后冻干得到罗库溴铵。

    Electronic device and file manipulation method
    8.
    发明授权
    Electronic device and file manipulation method 有权
    电子设备和文件操作方法

    公开(公告)号:US08806374B2

    公开(公告)日:2014-08-12

    申请号:US13593529

    申请日:2012-08-24

    申请人: Peng Wang

    发明人: Peng Wang

    IPC分类号: G06F3/048

    摘要: An exemplary file manipulation method determines whether the user manipulation on the file or file folder is a moving manipulation. The method then reads a directory structure of each drive from a storage unit when detecting that the user manipulation on the file or file folder is the moving manipulation, determines a maximum folder depth of the directory structure of the one or more drives, and further controls to display a user interface showing the directory structure with the maximum folder depth. Next, the method detects the user manipulation in the user interface, and determines a position where the icon is dragged to is a target position when detecting that the user manipulation is dragging the icon to the position in the ring portion of the sector. The method then moves the manipulated file or file folder to a target drive or file folder corresponding to the target position.

    摘要翻译: 示例性文件操纵方法确定用户对文件或文件夹的操纵是否是移动操作。 然后,当检测到文件或文件夹上的用户操纵是移动操作时,该方法从存储单元读取每个驱动器的目录结构,确定一个或多个驱动器的目录结构的最大文件夹深度,并进一步控制 以显示具有最大文件夹深度的目录结构的用户界面。 接下来,该方法检测用户界面中的用户操纵,并且当检测到用户操纵将图标拖动到扇区的环形部分中的位置时,确定将图标拖动到的位置是目标位置。 然后,该方法将操纵的文件或文件夹移动到与目标位置对应的目标驱动器或文件夹。

    Needle Enhancement in Diagnostic Ultrasound Imaging
    9.
    发明申请
    Needle Enhancement in Diagnostic Ultrasound Imaging 有权
    针刺增强诊断超声成像

    公开(公告)号:US20140187942A1

    公开(公告)日:2014-07-03

    申请号:US13733310

    申请日:2013-01-03

    IPC分类号: A61B8/08

    摘要: A needle is enhanced in a medical diagnostic ultrasound image. The image intensities associated with a needle in an image are adaptively increased and/or enhanced by compounding from a plurality of ultrasound images. Filtering methods and probabilistic methods are used to locate possible needle locations. In one approach, possible needles are found in component frames that are acquired at the same time but at different beam orientations. The possible needles are associated with each other across the component frames and false detections are removed based on the associations. In one embodiment of needle detection in an ultrasound component frame, lines are found first. The lines are then searched to find possible needle segments. In another embodiment, data from different times may be used to find needle motion and differences from a reference, providing the features in additional to features from a single component frame for needle detection.

    摘要翻译: 在医疗诊断超声图像中增强针。 通过从多个超声图像的复合来自适应地增加和/或增强与图像中的针相关联的图像强度。 使用过滤方法和概率方法来定位可能的针位置。 在一种方法中,可以在同时获取但是以不同波束取向获得的分量帧中找到可能的针。 可能的针在组件框架之间彼此相关联,并且基于关联来去除错误检测。 在超声组件框架中的针检测的一个实施例中,首先找到线。 然后搜索线以找到可能的针段。 在另一个实施例中,来自不同时间的数据可用于从参考找到针运动和差异,从单个组件框架中提供用于针检测的特征附加的特征。

    Method and system for learning based object detection in medical images
    10.
    发明授权
    Method and system for learning based object detection in medical images 有权
    医学图像学习基于物体检测的方法与系统

    公开(公告)号:US08737725B2

    公开(公告)日:2014-05-27

    申请号:US13235747

    申请日:2011-09-19

    IPC分类号: G06K9/62

    摘要: Methods and Systems for training a learning based classifier and object detection in medical images is disclosed. In order to train a learning based classifier, positive training samples and negative training samples are generated based on annotated training images. Features for the positive training samples and the negative training samples are extracted. The features include an extended Haar feature set including tip features and corner features. A discriminative classifier is trained based on the extracted features.

    摘要翻译: 公开了用于训练医学图像中基于学习的分类器和对象检测的方法和系统。 为了训练基于学习的分类器,基于注释的训练图像生成正训练样本和负训练样本。 提取正训练样本和负训练样本的特征。 功能包括扩展的Haar功能集,包括提示功能和角特征。 基于提取的特征对歧视性分类器进行训练。