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1. 发明授权

US08385646B2 Image processing 有权
标题翻译：图像处理
公开(公告)号：US08385646B2
公开(公告)日：2013-02-26
申请号：US12092090
申请日：2006-09-29
申请人： Mikael Carl Lang , Robert Mark Stefan Porter , Paul Edward Prayle , Ratna Beresford , Jonathan Richard Thorpe , Michael John Williams
发明人： Mikael Carl Lang , Robert Mark Stefan Porter , Paul Edward Prayle , Ratna Beresford , Jonathan Richard Thorpe , Michael John Williams
IPC分类号： G06K9/34
CPC分类号： G06Q30/0621 , G06F3/048 , G06F17/3025 , G06F17/30799 , G06F17/30831 , G06K9/00536 , G06K9/4638 , G06K9/4652 , G06Q30/0631 , G06Q30/0633 , G06Q30/0643 , G06T7/10 , G06T7/12 , G06T7/143 , G06T7/45 , G06T2207/10016
摘要： An image processing method includes partitioning an image under test to form a plurality of contiguous image segments having similar image properties, deriving feature data from a subset including one or more of the image segments, and comparing the feature data from the subset of image segments with feature data derived from respective image segments of one or more other images so as to detect a similarity between the image under test and the one or more other images.
摘要翻译：一种图像处理方法包括对被测图像进行分区以形成具有相似图像属性的多个邻接图像段，从包括图像片段中的一个或多个的子集导出特征数据，以及将来自图像片段子集的特征数据与从一个或多个其他图像的各个图像段导出的特征数据，以便检测被测图像与一个或多个其它图像之间的相似度。

2. 发明申请

US20090310861A1 IMAGE PROCESSING 有权
标题翻译：图像处理
公开(公告)号：US20090310861A1
公开(公告)日：2009-12-17
申请号：US12092090
申请日：2006-09-29
申请人： Mikael Carl Lang , Robert Mark Stefan Porter , Paul Edward Prayle , Ratna Beresford , Jonathan Richard Thorpe , Michael John Williams
发明人： Mikael Carl Lang , Robert Mark Stefan Porter , Paul Edward Prayle , Ratna Beresford , Jonathan Richard Thorpe , Michael John Williams
IPC分类号： G06K9/62 , G06K9/34
CPC分类号： G06Q30/0621 , G06F3/048 , G06F17/3025 , G06F17/30799 , G06F17/30831 , G06K9/00536 , G06K9/4638 , G06K9/4652 , G06Q30/0631 , G06Q30/0633 , G06Q30/0643 , G06T7/10 , G06T7/12 , G06T7/143 , G06T7/45 , G06T2207/10016
摘要： An image processing method includes partitioning an image under test to form a plurality of contiguous image segments having similar image properties, deriving feature data from a subset including one or more of the image segments, and comparing the feature data from the subset of image segments with feature data derived from respective image segments of one or more other images so as to detect a similarity between the image under test and the one or more other images.
摘要翻译：一种图像处理方法包括对被测图像进行分区以形成具有相似图像属性的多个邻接图像段，从包括图像片段中的一个或多个的子集导出特征数据，以及将来自图像片段子集的特征数据与从一个或多个其他图像的各个图像段导出的特征数据，以便检测被测图像与一个或多个其它图像之间的相似度。

3. 发明授权

US08363980B2 Video processing system and method 失效
标题翻译：视频处理系统和方法
公开(公告)号：US08363980B2
公开(公告)日：2013-01-29
申请号：US12198449
申请日：2008-08-26
申请人： Ratna Beresford , Michael John Williams
发明人： Ratna Beresford , Michael John Williams
IPC分类号： G06K9/00
CPC分类号： G06T7/80 , G06T2207/30228
摘要： A method of calculating a transform matrix for transforming points in a model of an object to an image of the object captured by a camera. The camera produces a two dimensional view of the object, the object having a plane, which includes a plurality of lines defining features on the plane of the object. The method comprises identifying a plurality of triplets of points on the lines of the object in the image from the camera, each of the triplets of points providing three or more non co-linear points on the lines of the object. The method includes identifying a sample triplet of points in the model, for each of the identified plurality of triplets of points, calculating a transform matrix which will transform the sample triplet from the model onto the identified triplet of points from the camera image, for each of the identified transform matrices, calculating a transform matrix for transforming a plurality of points on the lines of the object from the model to the image, calculating a comparison metric between the points transformed from the lines of the plane of the object in the model and corresponding points in the image view of the object, and identifying the transform matrix which produces the best comparison metric. The identified transform matrix can therefore be used to transform points on the model into the image produced by the camera, or points in the image onto the model.
摘要翻译：一种计算用于将对象的模型中的点变换成由相机拍摄的对象的图像的变换矩阵的方法。相机产生对象的二维视图，该对象具有平面，该平面包括在对象的平面上定义特征的多条线。该方法包括从相机中识别图像中的物体的线上的多个点的三重点，每个三分之一点在对象的线上提供三个或更多个非共线点。该方法包括识别模型中针对每个所识别的多个三重点的模型中的点的样本三元组，计算变换矩阵，其将样本三元组从模型转换到来自相机图像的所识别的三重点，对于每个计算用于将所述对象的所述线上的多个点变换为所述图像的变换矩阵，计算从所述模型中的对象的平面线变换的点与所述模型中的对应点之间的比较度量;以及对象的图像视图中的对应点，以及识别产生最佳比较度量的变换矩阵。因此，识别的变换矩阵可以用于将模型上的点变换为由相机产生的图像，或将图像中的点转换到模型上。

4. 发明申请

US20080165247A1 IMAGE PROCESSING APPARATUS AND METHOD 审中-公开
标题翻译：图像处理装置和方法
公开(公告)号：US20080165247A1
公开(公告)日：2008-07-10
申请号：US11943981
申请日：2007-11-21
申请人： Ratna Beresford , Daniel James Lennon
发明人： Ratna Beresford , Daniel James Lennon
IPC分类号： H04N7/18
CPC分类号： G06T5/009 , G06K9/38 , G06T2207/10068 , G06T2207/20012 , G06T2207/30004
摘要： An image processing apparatus is operable to generate at least one processed image from an input image. The image processing apparatus is operable to receive the input image represented as a plurality of pixels each of which includes red, green and blue component values and to apply, for example, a k-means clustering algorithm to identify k local mean for the values of the red, green and blue component values, where k is an integer. The image processing apparatus is operable to identify for each local mean of the pixels for each of the red, green and blue components, a candidate range of component values, and a mapping function for mapping the candidate range of component values onto a dynamic range of possible component values for representing the image. The image processing apparatus is operable to apply for each of the red, green and blue components of each pixel of the input image the identified mapping function, to form for each of the k-local mean a processed image for display.Embodiments of the present invention can provide a system which can be used, in one application to assist surgeons during visible light endoscopic examinations. The system can be used by surgeons to detect and analyse lesions in operating theatres, thereby reducing a need for histologies and repeat procedures.
摘要翻译：图像处理装置可操作以从输入图像生成至少一个经处理的图像。图像处理装置可操作以接收由多个像素表示的输入图像，每个像素包括红色，绿色和蓝色分量值，并且应用例如k均值聚类算法来识别k均值聚类算法红色，绿色和蓝色分量值，其中k是整数。图像处理装置可操作以识别红色，绿色和蓝色分量中的每一个的像素的每个局部平均值，分量值的候选范围和用于将分量值的候选范围映射到动态范围的映射函数用于表示图像的可能组件值。图像处理装置可操作以对所识别的映射函数的输入图像的每个像素的红色，绿色和蓝色分量中的每一个进行应用，以形成用于显示的经处理的图像的k个本地平均值。本发明的实施例可以提供一种系统，其可以在一个应用中用于在可见光内窥镜检查期间辅助外科医生。外科医生可以使用该系统来检测和分析手术室中的病变，从而减少对组织学和重复手术的需要。

5. 发明申请

US20070098268A1 APPARATUS AND METHOD OF SHOT CLASSIFICATION 审中-公开
标题翻译：装置和分类方法
公开(公告)号：US20070098268A1
公开(公告)日：2007-05-03
申请号：US11551483
申请日：2006-10-20
申请人： Ratna Beresford
发明人： Ratna Beresford
IPC分类号： G06K9/62 , H04N5/44
CPC分类号： G11B27/28 , G06F16/786
摘要： A method of classifying a video shot comprises predicting an image from a preceding image using a parameter based image transform, and comparing points in the predicted image with corresponding points in a current image to generate an point error value for each point. These point error values are used to identify those points whose point error value exceeds a point error threshold. Then, for corresponding points on images used as input to subsequent calculations that update the image transform parameters, the points so identified are excluded from contributing to said calculations.
摘要翻译：对视频拍摄进行分类的方法包括使用基于参数的图像变换来预测来自前一图像的图像，以及将预测图像中的点与当前图像中的对应点进行比较，以生成每个点的点误差值。这些点误差值用于识别点误差值超过点误差阈值的点。然后，对于用作更新图像变换参数的后续计算的输入的图像上的对应点，所识别的点被排除在对所述计算的贡献之外。

6. 发明申请

US20070098222A1 SCENE ANALYSIS 审中-公开
标题翻译：场景分析
公开(公告)号：US20070098222A1
公开(公告)日：2007-05-03
申请号：US11552278
申请日：2006-10-24
申请人： Robert Porter , Ratna Beresford , Simon Haynes
发明人： Robert Porter , Ratna Beresford , Simon Haynes
IPC分类号： G06K9/00 , G06K9/48
CPC分类号： G06K9/00362 , G06K9/00234 , G06K9/00778
摘要： Apparatus is arranged in operation to perform a method of estimating the number of individuals in a scene. The method comprises generating, for a plurality of image positions within at least a portion of a captured image of the scene, an edge correspondence value indicative of positional and angular correspondence with a representation of at least a partial outline of an individual. Analysis of the edge correspondence value is used to detect whether each of the plurality of image positions contributes to at least part of an image of an individual.
摘要翻译：设置在操作中以执行估计场景中的个人数量的方法。所述方法包括针对所述场景的拍摄图像的至少一部分内的多个图像位置生成指示与个体的至少部分轮廓的表示的位置和角度对应的边缘对应值。边缘对应值的分析用于检测多个图像位置中的每一个是否贡献到个体的图像的至少一部分。

7. 发明申请

US20070076922A1 Object detection 审中-公开
标题翻译：对象检测
公开(公告)号：US20070076922A1
公开(公告)日：2007-04-05
申请号：US11504005
申请日：2006-08-15
申请人： Jonathan Living , Robert Porter , Ratna Beresford
发明人： Jonathan Living , Robert Porter , Ratna Beresford
IPC分类号： G06K9/00 , G06K9/46
CPC分类号： G06K9/00362 , G06K9/00295
摘要： A method of object detection in video images comprises the steps of: detecting the size and image position of a first object part in two or more images; detecting attributes of a second object part, the second object part being defined by a predetermined orientation and size defined with respect to the size and position of the first object part; and comparing the detected attributes of the second object part in the two or more images detected to contain the first object part; in which the likelihood that the two or more images contain the same object is dependent at least on the comparison of the detected attributes of the second object part in those images.
摘要翻译：视频图像中的物体检测方法包括以下步骤：在两个或更多个图像中检测第一对象部分的大小和图像位置; 检测第二对象部分的属性，所述第二对象部分由关于所述第一对象部分的尺寸和位置限定的预定取向和尺寸限定; 以及比较检测到的两个或更多图像中的第二对象部分的检测属性以包含第一对象部分; 其中两个或多个图像包含相同对象的可能性至少取决于在那些图像中检测到的第二对象部分的属性的比较。

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