会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Multi-feature time filtering for enhancing structures in noisy images
    • 多特征时间滤波,用于增强嘈杂图像中的结构
    • US07844126B2
    • 2010-11-30
    • US11720106
    • 2005-11-21
    • Benoit MoryRaoul Florent
    • Benoit MoryRaoul Florent
    • G06K9/40G06K9/36G06K9/20
    • G06T5/002G06T5/003G06T5/50G06T2207/10121G06T2207/20182G06T2207/30101
    • A method for enhancing objects of interest represented on a moving background in a sequence of noisy images, and for displaying the sequence of enhanced images, the method comprising the steps of acquiring the sequence of images, extracting features related to an object of interest on a background in images from the sequence of acquired images or processed images, said features comprising at least two separately identified parts, registering separately each identified part with respect to an image from the sequence of acquired images, while not registering the background around said identified parts, to generate registered images of said identified parts, assembling together all registered identified parts from said object of interest using a weighted combination of said registered identified parts, to generate assembled images, integrating both said object of interest and said background over at least one assembled image and one acquired image, and displaying the processed images of the enhanced object of interest on faded background.
    • 一种用于增强在噪声图像序列中的移动背景上表示的感兴趣对象以及用于显示增强图像序列的方法,所述方法包括以下步骤:获取图像序列,提取与感兴趣对象相关的特征, 所述特征包括至少两个单独识别的部分,相对于所获取的图像序列中的图像分别注册每个识别部分,而不在所述识别的部分周围注册背景, 以产生所述识别的部分的登记图像,使用所述登记的识别部分的加权组合将来自所述感兴趣对象的所有注册的识别部分组合在一起,以生成组合图像,将所述感兴趣对象和所述背景与所述至少一个组合图像 和一个获取的图像,并显示t的处理图像 他在褪色的背景下增强了兴趣的对象。
    • 2. 发明申请
    • Multi-Feature Time Filtering for Enhancing Structures in Noisy Images
    • 用于增强嘈杂图像中的结构的多特征时间滤波
    • US20080199097A1
    • 2008-08-21
    • US11720106
    • 2005-11-21
    • Benoit MoryRaoul Florent
    • Benoit MoryRaoul Florent
    • G06K9/40G06K9/00
    • G06T5/002G06T5/003G06T5/50G06T2207/10121G06T2207/20182G06T2207/30101
    • A method for enhancing objects of interest represented on a moving background in a sequence of noisy images, and for displaying the sequence of enhanced images, the method comprising the steps of acquiring the sequence of images, extracting features related to an object of interest on a background in images from the sequence of acquired images or processed images, said features comprising at least two separately identified parts, registering separately each identified part with respect to an image from the sequence of acquired images, while not registering the background around said identified parts, to generate registered images of said identified parts, assembling together all registered identified parts from said object of interest using a weighted combination of said registered identified parts, to generate assembled images, integrating both said object of interest and said background over at least one assembled image and one acquired image, and displaying the processed images of the enhanced object of interest on faded background.
    • 一种用于增强在噪声图像序列中的移动背景上表示的感兴趣对象以及用于显示增强图像序列的方法,所述方法包括以下步骤:获取图像序列,提取与感兴趣对象相关的特征, 所述特征包括至少两个单独识别的部分,相对于所获取的图像序列中的图像分别注册每个识别部分,而不在所述识别的部分周围注册背景, 以产生所述识别的部分的登记图像,使用所述登记的识别部分的加权组合将来自所述感兴趣对象的所有注册的识别部分组合在一起,以生成组合图像,将所述感兴趣对象和所述背景与所述至少一个组合图像 和一个获取的图像,并显示t的处理图像 他在褪色的背景下增强了兴趣的对象。
    • 3. 发明申请
    • Automatic question formulation from a user selection in multimedia content
    • 多媒体内容中用户选择的自动问题制定
    • US20050076055A1
    • 2005-04-07
    • US10487734
    • 2002-08-22
    • Benoit MoryFranck Laffargue
    • Benoit MoryFranck Laffargue
    • G06F17/30G06F17/00
    • G06F16/489
    • The invention notably has for its object to permit a user who uses multimedia content to make a search for an object of interest evoked in said content, without having to formulate the question himself. For this purpose, a selection tool (for example, a key) permits the user to select a passage of the content while he is using it. When the user makes a selection, a context data is extracted from the content (for example, the current reading time). This context data is then used for recovering one or more descriptions in a document (for example, an MPEG-7 document) which describes said content. The recovered descriptions are finally used for automatically formulating a question intended to be transmitted to a search engine.
    • 本发明特别的目的是允许使用多媒体内容的用户搜索在所述内容中引发的兴趣对象,而不必自己制定问题。 为此,选择工具(例如,键)允许用户在使用内容时选择内容的段落。 当用户进行选择时,从内容中提取上下文数据(例如,当前读取时间)。 然后,该上下文数据用于恢复描述所述内容的文档(例如,MPEG-7文档)中的一个或多个描述。 恢复的描述最终用于自动制定要发送到搜索引擎的问题。
    • 7. 发明授权
    • Automatic 3-D segmentation of the short-axis late-enhancement cardiac MRI
    • 短轴晚期增强心脏MRI的自动3-D分割
    • US08509506B2
    • 2013-08-13
    • US12864515
    • 2009-01-26
    • Cybele CiofoloMaxim FradkinBenoit Mory
    • Cybele CiofoloMaxim FradkinBenoit Mory
    • G06K9/00
    • G06T7/149G06T7/12G06T2207/10088G06T2207/30048
    • The invention relates to a system (200) for delineating an anatomical structure in an image computed from a slice of image data, the system (200) comprising a partition unit (210) for partitioning the image into a plurality of image portions, each image portion depicting a portion of the anatomical structure, and an adaptation unit (220) for adapting a template to the image based on a criterion function, the criterion function being a function of template parameters and of image values and their relative positions in the image, and on a criterion to be satisfied by a computed value of the criterion function, wherein the criterion function is defined on the basis of the plurality of image portions. Having a criterion function defined on the basis of the plurality of image portions allows computing optimal contributions to the criterion function value within each portion of the image. This is proven to be particularly useful for extracting myocardial contours in a slice of the LEMR short-axis volume image data in the presence of scar tissues. The invention allows optimizing the treatment of portions of the image comprising scar tissue in the myocardium.
    • 本发明涉及一种用于描绘从图像数据片中计算的图像中的解剖结构的系统(200),该系统(200)包括用于将图像分割成多个图像部分的分割单元(210),每个图像 描绘解剖结构的一部分的部分,以及用于基于标准函数将模板适配到图像的适应单元(220),所述标准函数是模板参数以及图像值及其在图像中的相对位置的函数, 并且基于标准函数的计算值来满足的标准,其中基于多个图像部分来定义标准函数。 具有基于多个图像部分定义的标准函数允许计算对图像的每个部分内的标准函数值的最佳贡献。 这被证明对于在存在瘢痕组织的情况下在LEMR短轴体积图像数据的切片中提取心肌轮廓是特别有用的。 本发明允许优化对包括心肌中的瘢痕组织的图像的部分的处理。
    • 8. 发明申请
    • AUTOMATIC 3-D SEGMENTATION OF THE SHORT-AXIS LATE-ENHANCEMENT CARDIAC MRI
    • 短轴增强心脏MRI的自动三维分割
    • US20100303328A1
    • 2010-12-02
    • US12864515
    • 2009-01-26
    • Cybele CiofoloMaxim FradkinBenoit Mory
    • Cybele CiofoloMaxim FradkinBenoit Mory
    • G06K9/00
    • G06T7/149G06T7/12G06T2207/10088G06T2207/30048
    • The invention relates to a system (200) for delineating an anatomical structure in an image computed from a slice of image data, the system (200) comprising a partition unit (210) for partitioning the image into a plurality of image portions, each image portion depicting a portion of the anatomical structure, and an adaptation unit (220) for adapting a template to the image based on a criterion function, the criterion function being a function of template parameters and of image values and their relative positions in the image, and on a criterion to be satisfied by a computed value of the criterion function, wherein the criterion function is defined on the basis of the plurality of image portions. Having a criterion function defined on the basis of the plurality of image portions allows computing optimal contributions to the criterion function value within each portion of the image. This is proven to be particularly useful for extracting myocardial contours in a slice of the LEMR short-axis volume image data in the presence of scar tissues. The invention allows optimizing the treatment of portions of the image comprising scar tissue in the myocardium.
    • 本发明涉及一种用于描绘从图像数据片中计算的图像中的解剖结构的系统(200),该系统(200)包括用于将图像分割成多个图像部分的分割单元(210),每个图像 描绘解剖结构的一部分的部分,以及用于基于标准函数将模板适配到图像的适应单元(220),所述标准函数是模板参数以及图像值及其在图像中的相对位置的函数, 并且基于标准函数的计算值来满足的标准,其中基于多个图像部分来定义标准函数。 具有基于多个图像部分定义的标准函数允许计算对图像的每个部分内的标准函数值的最佳贡献。 这被证明对于在存在瘢痕组织的情况下在LEMR短轴体积图像数据的切片中提取心肌轮廓是特别有用的。 本发明允许优化对包括心肌中的瘢痕组织的图像的部分的处理。