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公开(公告)号：US20160267346A1
公开(公告)日：2016-09-15
申请号：US14645581
申请日：2015-03-12
发明人： ATISHAY JAIN , SHAMIT KUMAR MEHTA , STAKSHI JINDAL GARG , GEOFFREY CHARLES DOWD , ARIAN BEHZADI , JOSEPH MICHAEL ANDOLINA , DAVID ERICKSEN
IPC分类号： G06K9/46 , G06K9/80 , G06T7/20 , G06T7/00 , G06T7/40 , G06T5/30 , G06T5/40 , H04N5/232 , H04N21/44 , G06K9/62 , G06T5/00
CPC分类号： G06K9/4671 , G06K9/4609 , G06K9/468 , G06K9/6212 , G06K9/80 , G06T5/002 , G06T7/13 , G06T7/194 , G06T2200/24 , G06T2207/10016 , G06T2207/10024 , H04N5/23229 , H04N5/23293 , H04N5/272 , H04N21/44008
摘要： In various implementations, a computing device is configured to provide a live preview of salient contours generated on a live digital video feed. In particular, a designer can use a computing device with a camera, such as a smart phone, to view a real-time preview of salient contours generated from edges detected in frames of a live digital video feed prior to capture, thereby eliminating the unpredictability of salient contours generated from a previously captured image. In some implementations, the salient contours are overlaid on a greyscale conversion of the live digital video feed for improved processing and visual contrast. Other implementations modify aspects of edge-detecting or post-processing filters for improved performance on mobile computing devices.
摘要翻译： 在各种实现中，计算设备被配置为提供在实时数字视频馈送上生成的显着轮廓的实时预览。 特别地，设计者可以使用诸如智能电话的相机的计算设备来观看在拍摄之前在实时数字视频馈送的帧中检测到的边缘产生的显着轮廓的实时预览，从而消除不可预测性 从先前捕获的图像产生的显着轮廓。 在一些实现中，显着轮廓覆盖在实时数字视频馈送的灰度转换上，以改善处理和视觉对比度。 其他实现修改边缘检测或后处理过滤器的方面，以改善移动计算设备的性能。
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公开(公告)号：US09311703B2
公开(公告)日：2016-04-12
申请号：US14266661
申请日：2014-04-30
CPC分类号： G06T7/0012 , G06K9/46 , G06K9/468 , G06K2009/4666 , G06T7/12 , G06T7/168 , G06T2207/10072 , G06T2207/20061 , G06T2207/30048
摘要： A method, system and computer program for categorizing heart diseases is presented. An example method includes receiving a series of cardiac images of a heart, the cardiac images including a myocardium, and interior fibrous muscles of the heart. Cardiac images are segmented, into a myocardium segmentation showing an anatomical shape and a motion of the myocardium, and an interior fibrous muscles segmentation showing an anatomical shape and a motion of the interior fibrous muscles. The myocardium segmentation is converted into a regional characterization of the anatomical shape and motion of the myocardium. The interior fibrous muscles segmentation is converted to a regional characterization of the anatomical shape and motion of the interior fibrous muscles. Heart conditions are characterized based on the regional characterizations of the anatomical shape and the motion of the myocardium and the interior fibrous muscles.
摘要翻译： 提出了一种分类心脏病的方法，系统和计算机程序。 示例性方法包括接收心脏的一系列心脏图像，心脏图像包括心肌和心脏的内部纤维肌肉。 将心脏图像分割成心肌分割，显示心肌的解剖形状和运动，以及显示内部纤维肌肉的解剖形状和运动的内部纤维肌肉分割。 将心肌分割转化为心肌的解剖形状和运动的区域表征。 内部纤维肌肉分割被转化为内部纤维肌肉的解剖形状和运动的区域表征。 基于解剖形状和心肌和内部纤维肌的运动的区域特征来描述心脏状况。
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公开(公告)号：US20150332469A1
公开(公告)日：2015-11-19
申请号：US14277321
申请日：2014-05-14
发明人： Noel C. Codella , Gang Hua , John R. Smith
CPC分类号： G06T7/11 , G06K9/3241 , G06K9/46 , G06K9/4604 , G06K9/4652 , G06K9/468 , G06K9/6215 , G06K9/6218 , G06K2009/4666 , G06K2009/6213 , G06T7/187 , G06T7/90 , G06T2207/10016
摘要： Methods, systems, and computer program products for static image segmentation are provided herein. A method includes segmenting a static image containing a target object into multiple regions based on one or more visual features of the static image; analyzing video content containing the target object to determine a similarity metric across the multiple segmented regions based on motion information associated with each of the multiple segmented regions; and applying the similarity metric to the static image to identify two or more of the multiple segmented regions as being portions of the target object.
摘要翻译： 本文提供了静态图像分割的方法，系统和计算机程序产品。 一种方法包括基于静态图像的一个或多个视觉特征将包含目标对象的静态图像分割成多个区域; 分析包含所述目标对象的视频内容，以基于与所述多个分段区域中的每一个相关联的运动信息来确定所述多个分段区域上的相似性度量; 以及将所述相似性度量应用于所述静态图像，以将所述多个分段区域中的两个或更多个标识为所述目标对象的部分。
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公开(公告)号：US20150317789A1
公开(公告)日：2015-11-05
申请号：US14266661
申请日：2014-04-30
CPC分类号： G06T7/0012 , G06K9/46 , G06K9/468 , G06K2009/4666 , G06T7/12 , G06T7/168 , G06T2207/10072 , G06T2207/20061 , G06T2207/30048
摘要： A method, system and computer program for categorizing heart diseases is presented. An example method includes receiving a series of cardiac images of a heart, the cardiac images including a myocardium, and interior fibrous muscles of the heart. Cardiac images are segmented, into a myocardium segmentation showing an anatomical shape and a motion of the myocardium, and an interior fibrous muscles segmentation showing an anatomical shape and a motion of the interior fibrous muscles. The myocardium segmentation is converted into a regional characterization of the anatomical shape and motion of the myocardium. The interior fibrous muscles segmentation is converted to a regional characterization of the anatomical shape and motion of the interior fibrous muscles. Heart, conditions are characterized based on the regional characterizations of the anatomical shape and the motion of the myocardium and the interior fibrous muscles.
摘要翻译： 提出了一种分类心脏病的方法，系统和计算机程序。 示例性方法包括接收心脏的一系列心脏图像，心脏图像包括心肌和心脏的内部纤维肌肉。 将心脏图像分割成心肌分割，显示心肌的解剖形状和运动，以及显示内部纤维肌肉的解剖形状和运动的内部纤维肌肉分割。 将心肌分割转化为心肌的解剖形状和运动的区域表征。 内部纤维肌肉分割被转化为内部纤维肌肉的解剖形状和运动的区域表征。 基于解剖形状和心肌和内部纤维肌肉的运动的区域特征，心脏，病症的特征在于。
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公开(公告)号：US20150317533A1
公开(公告)日：2015-11-05
申请号：US14266057
申请日：2014-04-30
CPC分类号： G06K9/18 , G06K9/2063 , G06K9/46 , G06K9/468 , G06K9/62 , G06K9/6202 , G06K9/6215 , G06K9/6292 , G06K2209/01
摘要： Systems and methods search pixels of source images and compare them to pixels of templates. Best matches correlate to objects in the image. That environmental conditions impact the appearance of objects, best matching scores suffer under poor lighting and other adverse conditions. Improving scores includes augmenting traditional correlation techniques with object features extracted from the source image and matching them to templates corresponding to the features. Certain embodiments contemplate corrupting pixels of image templates corresponding to objects with pixels extracted from the source image corresponding to features. Representative features include corners, edges, ridges, points/regions of interest, etc. Other embodiments note augmented correlation as a computing application and computing devices therefore, including cameras for capturing images and displaying results to users.
摘要翻译： 系统和方法搜索源图像的像素，并将其与模板的像素进行比较。 最佳匹配与图像中的对象相关。 环境条件影响物体的外观，最佳匹配分数在不良照明和其他不利条件下遭受损失。 改进分数包括通过从源图像提取的对象特征来扩展传统的相关技术，并将它们与对应于特征的模板相匹配。 某些实施例考虑到与从具有与特征相对应的源图像中提取的像素的对象相对应的图像模板的破坏性像素。 代表性特征包括角，边，脊，感兴趣的点/区域等。其它实施例注意到作为计算应用和计算设备的增强相关性，因此包括用于捕获图像并向用户显示结果的相机。
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16.发明申请公开(公告)号：US20150278632A1
公开(公告)日：2015-10-01
申请号：US14228947
申请日：2014-03-28
申请人： Xerox Corporation
CPC分类号： G06K9/52 , G06F17/30247 , G06F17/30259 , G06K9/00785 , G06K9/3233 , G06K9/468 , G06K9/6202 , G06K9/6211 , G06K9/6215 , G06K9/6256
摘要： Methods and systems for detecting an object part location based on an extended date-driven detection. A specific relevance value between configurations of parts with respect to a set of training images annotated with annotating objects can be defined. A similarity learning algorithm can be applied with respect to the parts to obtain a similarity function based on the similarity between the part configurations. The similarity learning algorithm receives a set of positive pair having similar part configuration and a negative pair having different configuration and returns the similarity function that tends to assign a high score to new positive pair and a low score to negative pairs. A similarity between a new image and the training images can be measured utilizing the learned similarity function to obtain a neighbor image and a visible and/or non-visible part location with respect to the image can be predicted based on the neighbor image.
摘要翻译： 基于扩展的日期驱动检测来检测对象部位的方法和系统。 可以定义与注释对象注释的一组训练图像的部件配置之间的具体相关性值。 可以相对于部分应用相似度学习算法，以基于部件配置之间的相似性来获得相似度函数。 相似度学习算法接收一组具有相似部分配置的正对和具有不同配置的负对，并返回倾向于将新分数分配给新的正对和低分数到负对的相似度函数。 可以利用所学习的相似度函数来测量新图像和训练图像之间的相似度以获得邻近图像，并且可以基于邻近图像来预测相对于图像的可见和/或不可见部分位置。
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17.发明申请VIRTUAL ENDOSCOPIC IMAGE GENERATION DEVICE, METHOD, AND MEDIUM CONTAINING PROGRAM 有权虚拟内窥镜图像生成装置，方法和包含程序的介质公开(公告)号：US20150190038A1
公开(公告)日：2015-07-09
申请号：US14662441
申请日：2015-03-19
申请人： FUJIFILM Corporation
发明人： Futoshi SAKURAGI
CPC分类号： A61B1/00193 , A61B1/00009 , A61B1/0005 , A61B6/12 , A61B8/0841 , G06K9/468 , G06T19/006 , G06T19/20 , G06T2207/10068 , G06T2210/41 , G06T2219/2012 , H04N13/204
摘要： A structure extracting unit extracts a structure from a three-dimensional medical image, and a view point determining unit determines a view point position and a direction of line of sight of a virtual endoscopic image. An image generating unit calculates a distance between the view point position and the extracted structure, changes an opacity defined in a color template depending on the distance, and generates, from the three-dimensional medical image, a virtual endoscopic image containing the structure shown according to the color template with the changed opacity viewed from the view point position in the direction of line of sight. A display control unit displays the thus generated virtual endoscopic image on a WS display.
摘要翻译： 结构提取单元从三维医学图像提取结构，视点确定单元确定虚拟内窥镜图像的视点位置和视线方向。 图像生成单元计算视点位置与提取的结构之间的距离，根据距离来改变在颜色模板中定义的不透明度，并且从三维医学图像生成包含所示结构的虚拟内窥镜图像 到从视线方向观察位置观察到的具有改变的不透明度的颜色模板。 显示控制单元将这样生成的虚拟内窥镜图像显示在WS显示器上。
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公开(公告)号：US20150187133A1
公开(公告)日：2015-07-02
申请号：US14657546
申请日：2015-03-13
发明人： Antonio Martini
IPC分类号： G06T17/05
CPC分类号： G06T7/337 , A63F13/25 , A63F13/50 , A63F13/5378 , G06K9/00476 , G06K9/46 , G06K9/468 , G06K9/52 , G06T7/0008 , G06T7/13 , G06T7/246 , G06T7/55 , G06T7/73 , G06T7/74 , G06T15/10 , G06T17/05 , G06T19/006 , G06T2200/08 , G06T2207/10012 , G06T2207/10016 , G06T2207/20021 , G06T2207/30244 , G06T2215/16 , G06T2219/2004 , H04N7/18 , H04N13/207 , H04N13/211
摘要： A method generates a three-dimensional map of a region from successive images captured from different camera poses. The method includes a camera capturing images of the region; designating a subset of captured images as a set of keyframes each having respective sets of image position data representing image positions of landmark points detected as feature points in that image; for a newly captured image, generating a camera pose prediction; selecting an ordering of the landmark points; detecting whether an image region of the new image approximately matches an expected image position of a landmark point based on the predicted camera pose by detecting whether the image region is substantially identical to the image information associated with that landmark point; and refining the pose prediction from the detecting step. The selecting includes performing a statistical test on the landmark points and selecting the ordering according to the statistical test results.
摘要翻译： 一种方法从不同摄像机姿态捕获的连续图像中产生区域的三维图。 该方法包括拍摄该区域的图像的相机; 将捕获图像的子集指定为一组关键帧，每组关键帧具有表示作为该图像中的特征点检测的地标点的图像位置的图像位置数据的各组; 对于新拍摄的图像，产生相机姿态预测; 选择地标点的顺序; 通过检测所述图像区域是否与与所述地标点相关联的图像信息基本上相同，基于所述预测的摄像机姿态来检测所述新图像的图像区域是否近似地与所述地标点的预期图像位置匹配; 并从检测步骤中精炼姿态预测。 该选择包括对地标点执行统计测试，并根据统计测试结果选择排序。
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公开(公告)号：US20150036932A1
公开(公告)日：2015-02-05
申请号：US14451526
申请日：2014-08-05
IPC分类号： G06K9/46
CPC分类号： G06K9/468
摘要： According to an embodiment, an image processing apparatus includes an obtainer, a setter, a first calculator, a second calculator, and a third calculator. The obtainer obtains an image. The setter sets a plurality of first regions and a plurality of second regions on the image. Each of the first regions and the second regions includes two or more pixels, and at least one of the second regions is different in position or size from the first regions. The first calculator calculates first feature data representing an image feature of the first regions. The second calculator calculates second feature data which is a luminance gradient between the second regions. The third calculator calculates relative feature data representing a relative relationship between the first feature data and the second feature data.
摘要翻译： 根据实施例，图像处理装置包括获取器，设定器，第一计算器，第二计算器和第三计算器。 获取者获取图像。 设定器在图像上设置多个第一区域和多个第二区域。 第一区域和第二区域中的每一个包括两个或更多个像素，并且第二区域中的至少一个位置或尺寸与第一区域不同。 第一计算器计算表示第一区域的图像特征的第一特征数据。 第二计算器计算作为第二区域之间的亮度梯度的第二特征数据。 第三计算器计算表示第一特征数据和第二特征数据之间的相对关系的相对特征数据。
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公开(公告)号：US20150003743A1
公开(公告)日：2015-01-01
申请号：US14365534
申请日：2012-12-11
发明人： Kenichiro Nosaka
CPC分类号： G06K9/468 , G06K9/3233 , G06K9/52 , G06K2009/4666 , G06T7/11 , G06T7/136 , G06T7/254 , G06T2207/10048 , G06T2207/30196 , G08B13/19604
摘要： An object detection device includes: a binary difference image generation unit for generating a binary difference image C by binarizing a difference value between a background image B, which is an image as a reference for the absence of a detection target object in the detection area, and a detection target image F which is an image as a detection target to detect a detection target object in the detection area; a binary second derivative image generation unit for generating a binary second derivative image D by binarizing second derivatives of the detection target image F or of a smoothed image F′, obtained by smoothing the detection target image F; and an object detection unit for detecting the detection target object based on a logical product of the binary difference image C and the binary second derivative image D.
摘要翻译： 对象检测装置包括：二进制差分图像生成单元，用于通过二值化作为检测区域中不存在检测对象物体的基准的图像的背景图像B之间的差值来生成二进制差分图像C， 以及检测对象图像F，其作为检测目标对象在检测区域中作为检测对象的图像; 二进制二进制图像生成单元，用于通过对检测对象图像F的二进制进行二值化或通过平滑检测对象图像F得到的平滑图像F'来生成二进制二进制图像D; 以及对象检测单元，用于基于二进制差分图像C和二进制二进制图像D的逻辑积检测检测目标对象。
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