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    • 1. 发明授权
    • Image segmentation method
    • 图像分割方法
    • US08478011B2
    • 2013-07-02
    • US12587225
    • 2009-10-01
    • Kai LiAllen Davis MalonyDon M. Tucker
    • Kai LiAllen Davis MalonyDon M. Tucker
    • A61B6/03
    • G06T5/002G06T7/136G06T7/162G06T2207/10088G06T2207/20012G06T2207/30016
    • An image segmentation method. An image is defined by voxels representing at least two different structure types A and B, by having corresponding different intensities that may be subject to intensity inhomogeneities. A basic method comprises (a) selecting a first voxel to be classified; (b) defining criteria by which a comparison of the intensity associated with the first voxel with an intensity associated with a second voxel is to be considered to indicate that the first voxel represents structure type B assuming the second voxel represents structure type A; (c) determining a path of voxels passing through the first voxel; (d) defining a maximum distance along the path; and (e) determining whether there is a second voxel on the path, within the maximum distance of the first voxel, such that the intensities associated with the first and second voxels together satisfy the criteria, for potentially classifying the first voxel as representing structure type B.
    • 一种图像分割方法。 通过具有可能受到强度不均匀性的对应的不同强度,通过代表至少两种不同结构类型A和B的体素来定义图像。 一种基本方法包括(a)选择要分类的第一体素; (b)定义标准,通过该标准将与第一体素相关联的强度与与第二体素相关联的强度的比较视为指示第一体素表示结构类型B,假设第二体素表示结构类型A; (c)确定穿过第一体素的体素的路径; (d)沿路径定义最大距离; 以及(e)确定所述路径上是否存在在所述第一体素的最大距离内的所述路径上的第二体素,使得与所述第一和第二体素相关联的强度在一起满足所述标准,以将所述第一体素潜在地分类为表示结构类型 B.
    • 2. 发明申请
    • Image segmentation method
    • 图像分割方法
    • US20110081062A1
    • 2011-04-07
    • US12587225
    • 2009-10-01
    • Kai LiAllen Davis MalonyDon M. Tucker
    • Kai LiAllen Davis MalonyDon M. Tucker
    • G06K9/62
    • G06T5/002G06T7/136G06T7/162G06T2207/10088G06T2207/20012G06T2207/30016
    • An image segmentation method. An image is defined by voxels representing at least two different structure types A and B, by having corresponding different intensities that may be subject to intensity inhomogeneities. A basic method comprises (a) selecting a first voxel to be classified; (b) defining criteria by which a comparison of the intensity associated with the first voxel with an intensity associated with a second voxel is to be considered to indicate that the first voxel represents structure type B assuming the second voxel represents structure type A; (c) determining a path of voxels passing through the first voxel; (d) defining a maximum distance along the path; and (e) determining whether there is a second voxel on the path, within the maximum distance of the first voxel, such that the intensities associated with the first and second voxels together satisfy the criteria, for potentially classifying the first voxel as representing structure type B.
    • 一种图像分割方法。 通过具有可能受到强度不均匀性的对应的不同强度,通过代表至少两种不同结构类型A和B的体素来定义图像。 一种基本方法包括(a)选择要分类的第一体素; (b)定义标准,通过该标准将与第一体素相关联的强度与与第二体素相关联的强度的比较视为指示第一体素表示结构类型B,假设第二体素表示结构类型A; (c)确定穿过第一体素的体素的路径; (d)沿路径定义最大距离; 以及(e)确定所述路径上是否存在在所述第一体素的最大距离内的所述路径上的第二体素,使得与所述第一和第二体素相关联的强度在一起满足所述标准,以将所述第一体素潜在地分类为表示结构类型 B.
    • 3. 外观设计
    • Basket
    • USD901180S1
    • 2020-11-10
    • US29738718
    • 2020-06-19
    • Kai Li
    • Kai Li
    • FIG. 1 is a perspective view of a basket showing my new design;
      FIG. 2 is another perspective view thereof;
      FIG. 3 is a front elevational view thereof;
      FIG. 4 is a rear elevational view thereof;
      FIG. 5 is a left side elevational view thereof;
      FIG. 6 is a right side elevational view thereof;
      FIG. 7 is a top plan view thereof;
      FIG. 8 is a bottom plan view thereof;
      FIG. 9 is a perspective elevational view of the basket where the basket in a first folding position;
      FIG. 10 is a perspective elevational view of the basket where the basket in a second folding position;
      FIG. 11 is a perspective elevational view of the basket where the basket in a fully opened position; and,
      FIG. 12 is a perspective elevational view of the basket where the basket in a fully folding position.
    • 7. 发明授权
    • Fault diagnosis and preliminary location system and method for transformer core looseness
    • 变压器铁芯松动故障诊断及初步定位系统及方法
    • US09404957B2
    • 2016-08-02
    • US14128603
    • 2012-07-19
    • Kai ChenChunning WangHongzhong MaKai LiYiming WuYing ZhangHongtao LiuPeng GaoTaotao Chen
    • Kai ChenChunning WangHongzhong MaKai LiYiming WuYing ZhangHongtao LiuPeng GaoTaotao Chen
    • G01R31/02G01H1/00
    • G01R31/027G01H1/00
    • This invention publishes a fault diagnosis and location system for transformer core looseness, consists of vibration sensors, data collection and computer. It is of power transformer fault intelligent diagnosis technology technical field. Fault diagnosis and location method uses three vibration sensors positioned on the top of transformer tank, to obtain vibration signal, uses signal processing to analyze the signal, and obtains fault characteristics of the transformer core looseness. The characteristics respectively are 50 Hz, 150 Hz and 300 Hz frequency components, in which 300 Hz is main feature. When they reach a certain value at one position, it suggests that transformer core looseness near this position. By the comparison of differences among signals of three positions, fault location can be done. This invention manifests fault characteristics accurately and detects core looseness efficiently.The invention uses the electricity grid frequency of 50 Hz for example, for 60 Hz power system, above 50 Hz, 150 Hz, 300 Hz characteristic frequencies are 60 Hz, 180 Hz and 360 Hz.
    • 本发明公布了变压器磁芯松动故障诊断定位系统,由振动传感器,数据采集和计算机组成。 是电力变压器故障智能诊断技术技术领域。 故障诊断和定位方法采用位于变压器箱顶部的三个振动传感器,获得振动信号,采用信号处理分析信号,获得变压器磁芯松动的故障特征。 特性分别为50Hz,150Hz和300Hz频率分量,其中300Hz为主要特征。 当它们在一个位置达到一定值时,表明变压器芯在这个位置附近松动。 通过比较三个位置的信号之间的差异,可以进行故障定位。 本发明精确表现了故障特征,有效地检测了磁芯的松动。 本发明使用例如50Hz的电网频率,对于60Hz电力系统,高于50Hz,150Hz,300Hz特征频率为60Hz,180Hz和360Hz。
    • 9. 发明授权
    • Signal processing apparatus, signal processing method and storage system
    • 信号处理装置,信号处理方法和存储系统
    • US08472563B2
    • 2013-06-25
    • US11524566
    • 2006-09-21
    • Atsushi EsumiKai LiHidemichi Mizuno
    • Atsushi EsumiKai LiHidemichi Mizuno
    • H04L25/06
    • H03K5/007H03K5/082
    • A signal processing apparatus includes a first baseline wander correcting unit, provided in a processing path in which a predetermined processing is performed on an input signal, which corrects baseline wander by a feedforward and a second baseline wander correcting unit, provided anterior to the first baseline wander unit, which corrects the baseline wander by a feedback control. The first baseline wander correcting unit derives an amount of baseline wander. Further, it calculates a value corresponding to an average value of the amount of derived baseline wander and fine-adjusts a correction amount of baseline. Then it corrects the baseline wander by using the fine-adjusted baseline amount. The second baseline wander correcting unit calculates a value corresponding to an average value of the amount of baseline wander derived by the baseline wander derivation unit and coarse-adjusts a correction amount of baseline, and corrects the baseline wander by using the coarse-adjusted baseline amount. The fine correcting by the first baseline wander correcting unit and the coarse correcting by the second baseline correcting unit ensure efficient correction of baseline wander.
    • 信号处理装置包括:第一基线漂移校正单元,设置在对输入信号执行预定处理的处理路径中,该输入信号通过前馈和第二基线漂移校正单元校正基线漂移,该第一基线漂移校正单元设置在第一基线之前 漂移单元,其通过反馈控制校正基线漂移。 第一个基线漂移校正单元导出基线漂移的量。 此外,它计算与导出的基线漂移量的平均值相对应的值,并且精细地调整基线的校正量。 然后通过使用精细调整的基线量来校正基线漂移。 第二基线漂移校正单元计算与基线漂移导出单元导出的基线漂移量的平均值对应的值,并且粗略地调整基线的校正量,并且使用粗调基线量来校正基线漂移 。 通过第一基线漂移校正单元的精细校正和由第二基线校正单元的粗略校正确保了基线漂移的有效校正。
    • 10. 发明授权
    • Method and apparatus for calibrating video camera
    • 校准摄像机的方法和装置
    • US08436904B2
    • 2013-05-07
    • US12757211
    • 2010-04-09
    • Kai LiJing WangYuan LiuPing Fang
    • Kai LiJing WangYuan LiuPing Fang
    • H04N13/02H04N17/00
    • G06T7/80G06T2207/30208
    • A method for calibrating the video camera includes: obtaining the internal and external parameters of the video camera according to a reference template; recording data of a reference object in the scene; obtaining images of the reference object from at least two perspectives; and obtaining the internal and external parameters of the video camera according to the recorded data of the reference object. An apparatus for calibrating the video camera includes: a preliminary calibration unit, configured to obtain the internal and external parameters of the video camera according to a reference template, and record the data of a reference object in the scene; a recalibration unit, configured to obtain images of the reference object from at least two perspectives, and obtain the internal and external parameters of the video camera according to the recorded data of the reference object. The invention is applicable to various scenes and features simple operations.
    • 用于校准摄像机的方法包括:根据参考模板获得摄像机的内部和外部参数; 在场景中记录参考对象的数据; 从至少两个角度获取参考对象的图像; 以及根据参考对象的记录数据获得摄像机的内部和外部参数。 用于校准摄像机的装置包括:初步校准单元,被配置为根据参考模板获得摄像机的内部和外部参数,并将参考对象的数据记录在场景中; 重新校正单元,被配置为从至少两个角度获得参考对象的图像,并且根据参考对象的记录数据获得摄像机的内部和外部参数。 本发明适用于各种场景和功能简单的操作。