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21.发明授权公开(公告)号：US09478039B1
公开(公告)日：2016-10-25
申请号：US15160067
申请日：2016-05-20
CPC分类号： G06T7/0081 , G06T7/11 , G06T7/194 , G06T2207/10028
摘要： The present invention relates to an image background modeling and foreground extraction method based on a depth image, characterized by comprising: step 1: acquiring a depth image representing a distance from objects to a camera; step 2: initiating a real-time depth background model; step 3: updating the real-time depth background model; step 4: acquiring a current depth image representing the distance from the objects to the camera; step 5: extracting a foreground image of the current depth image based on the real-time depth background model; step 6: outputting the foreground image and generating a real-time target masking image; and step 7: updating the real-time depth background model, where code block information of each pixel point in the real-time depth background model is updated according to the real-time target masking image. The present invention has stability, high efficiency, and superiority in processing positional relationships that cannot be matched by a well-known modeling method using a color image, and does not require initially modeling a scene, thereby simplifying implementation steps and greatly improving the whole performance.
摘要翻译： 本发明涉及一种基于深度图像的图像背景建模和前景提取方法，其特征在于包括：步骤1：获取表示从对象到相机的距离的深度图像; 步骤2：启动实时深度背景模型; 步骤3：更新实时深度背景模型; 步骤4：获取表示从对象到相机的距离的当前深度图像; 步骤5：基于实时深度背景模型提取当前深度图像的前景图像; 步骤6：输出前景图像并生成实时目标掩蔽图像; 以及步骤7：更新实时深度背景模型，其中根据实时目标掩蔽图像更新实时深度背景模型中每个像素点的代码块信息。 本发明通过使用彩色图像的众所周知的建模方法来处理位置关系的稳定性，高效率和优越性，并且不需要对场景进行初始建模，从而简化了实施步骤并大大提高了整体性能 。
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公开(公告)号：US09430839B2
公开(公告)日：2016-08-30
申请号：US14673010
申请日：2015-03-30
申请人： Shyam Boriah , Vipin Kumar , Ankush Khandelwal , Xi C. Chen
发明人： Shyam Boriah , Vipin Kumar , Ankush Khandelwal , Xi C. Chen
CPC分类号： G06T7/0081 , G06K9/0063 , G06K9/209 , G06K9/4638 , G06K9/6218 , G06K9/6256 , G06T2207/20021 , G06T2207/30181
摘要： A method of reducing processing time when assigning geographic areas to land cover labels using satellite sensor values includes a processor receiving a feature value for each pixel in a time series of frames of satellite sensor values, each frame containing multiple pixels and each frame covering a same geographic location. For each sub-area of the geographic location, the sub-area is assigned to one of at least three land cover labels. The processor determines a fraction function for a first sub-area assigned to a first land cover label. The sub-areas that were assigned to the first land cover label are reassigned to one of the second land cover label and the third land cover label based on the fraction functions of the sub-areas.
摘要翻译： 使用卫星传感器值将地理区域分配给陆地覆盖标签时减少处理时间的方法包括处理器在卫星传感器值的帧的时间序列中接收每个像素的特征值，每个帧包含多个像素，并且每个帧覆盖相同 地理位置。 对于地理位置的每个子区域，子区域被分配给至少三个土地覆盖标签中的一个。 处理器确定分配给第一土地覆盖标签的第一子区域的分数函数。 分配给第一土地覆盖标签的子区域基于子区域的分数函数重新分配给第二土地覆盖标签和第三土地覆盖标签之一。
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公开(公告)号：US09424652B2
公开(公告)日：2016-08-23
申请号：US14130129
申请日：2012-06-12
CPC分类号： G06T7/0081 , G06T7/11 , G06T7/143 , G06T7/194
摘要： Various methods and systems are provided for adaptive background estimation. In one embodiment, among others, a signal processing device includes at least one processing unit and a memory storing a background estimation system executable in the at least one processing unit. The background estimation system, when executed, causes the signal processing device to separate foreground objects from at least one image frame in a sequence of image frames based at least in part upon a correntropy cost function. In another embodiment, a method includes obtaining an image frame from a sequence of image frames; performing correntropy filtering on the image frame to separate foreground objects from the image frame; and providing the foreground objects for rendering. The correntropy filtering may adapt to compensate for diffusion effects in the image frame.
摘要翻译： 为自适应背景估计提供了各种方法和系统。 在一个实施例中，信号处理设备包括至少一个处理单元和存储可在该至少一个处理单元中执行的背景估计系统的存储器。 背景估计系统在执行时使得信号处理装置至少部分地基于科学成本函数将前景对象与图像帧序列中的至少一个图像帧分离。 在另一个实施例中，一种方法包括从图像帧序列获得图像帧; 对图像帧执行correntropy过滤以将前景对象与图像帧分离; 并提供用于呈现的前景对象。 科学滤波可以适应补偿图像帧中的扩散效应。
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公开(公告)号：US09418440B2
公开(公告)日：2016-08-16
申请号：US14542792
申请日：2014-11-17
发明人： Naotsugu Sagawa , Kotaro Yano
CPC分类号： G06T7/0081 , G06T7/11 , G06T7/168 , G06T7/42 , G06T7/44 , G06T2207/20084
摘要： An image processing apparatus has: a segmenting unit for segmenting an input image into a plurality of areas on the basis of a similarity of pixels; an acquiring unit for acquiring sizes of the segmented areas; a selecting unit for selecting one of a plurality of discriminating methods of discriminating, with respect to adjacent areas among the plurality of areas, on the basis of an acquired size of each of the adjacent areas, whether or not the adjacent areas are connecting targets by using different kinds of features; an extracting unit for extracting, from the adjacent areas, the feature of the kind which is used in the selected discriminating method; a connecting unit for connecting the adjacent areas determined as the connecting targets by the selected discriminating method; and a classifying unit for classifying a kind of connected area.
摘要翻译： 一种图像处理装置具有：分割单元，用于基于像素的相似度将输入图像分割成多个区域; 用于获取分割区域的尺寸的获取单元; 选择单元，用于基于所获取的每个相邻区域的大小，选择相对于所述多个区域中的相邻区域来区分多个判别方法中的一个，所述相邻区域是否是连接目标， 使用不同的功能; 提取单元，用于从所述相邻区域提取在所选择的辨别方法中使用的所述特征; 连接单元，用于通过所选择的识别方法连接被确定为连接目标的相邻区域; 以及用于对一种连接区域进行分类的分类单元。
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公开(公告)号：US09396546B2
公开(公告)日：2016-07-19
申请号：US14159658
申请日：2014-01-21
发明人： Brian L. Price , Scott Cohen , Jimei Yang
CPC分类号： G06T7/0081 , G06T7/11 , G06T7/143 , G06T7/162 , G06T2207/10024 , G06T2207/20016 , G06T2207/20081
摘要： Disclosed are various embodiments labeling objects using multi-scale partitioning, rare class expansion, and/or spatial context techniques. An input image may be partitioned using different scale values to produce a different set of superpixels for each of the different scale values. Potential object labels for superpixels in each different set of superpixels of the input image may be assessed by comparing descriptors of the superpixels in each different set of superpixels of the input image with descriptors of reference superpixels in labeled reference images. An object label may then be assigned for a pixel of the input image based at least in part on the assessing of the potential object labels.
摘要翻译： 公开了使用多尺度分割，稀有类扩展和/或空间上下文技术标记对象的各种实施例。 可以使用不同的比例值对输入图像进行分区，以针对不同比例值中的每一者产生不同的超像素组。 可以通过将输入图像的每个不同的超像素集合中的超像素的描述符与标记的参考图像中的参考超像素的描述符进行比较来评估输入图像的每个不同的超像素集合中的超像素的潜在对象标签。 至少部分地基于对潜在对象标签的评估，可以为输入图像的像素分配对象标签。
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26.发明申请METHOD FOR ASSISTING VISUAL EXPLORATION FOR AN INDIVIDUAL SUFFERING FROM A RETINAL CONDITION RESULTING IN A SCOTOMA 有权用于辅助视觉探索的方法，用于从SCOTOMA结果的反应条件中个体化公开(公告)号：US20160198941A1
公开(公告)日：2016-07-14
申请号：US14912452
申请日：2014-08-07
申请人： ESSILOR INTERNATIONAL (COMPAGNIE GENERALE D'OPTIQUE ) , CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE -CNRS , UNIVERSITE D'AIX-MARSEILLE
发明人： Carlos AGUILAR , Eric CASTET
CPC分类号： A61B3/0025 , A61B3/0041 , A61B3/0091 , A61B3/10 , G06T3/40 , G06T7/0051 , G06T7/0081 , G06T7/11 , G06T7/50 , G06T2207/20112 , G06T2207/20144 , G06T2207/30201 , G09B21/008
摘要： A method of assisting visual exploration for individuals suffering from a retinal condition resulting in a scotoma and, more particularly, a method S for assisting visual exploration by such an individual of a digital image on a display device, the method including:—recognizing, using shape recognition software, at least one object contained in an object area of the digital image,—determining a blind area in the image, corresponding to a position of the scotoma in the field of vision of the user looking at the image,—if the blind area and the object area are detected to be in close proximity to each other, applying image processing to the image consisting in highlighting the object area for the user.
摘要翻译： 一种辅助视力检查的患者视力检查的视网膜病症导致暗点，更具体地说，一种方法S，用于辅助这种个体在显示装置上的数字图像的视觉探索，该方法包括：识别，使用 形状识别软件，包含在数字图像的对象区域中的至少一个对象， - 确定图像中的盲区，对应于观看图像的用户的视野中的暗点的位置， - 如果 检测到盲区和对象区彼此靠近，将图像处理应用于突出显示用户对象区域的图像。
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27.发明授权Method, apparatus, and system for outputting information of blood flow included in region of interest based on selection information 有权基于选择信息输出感兴趣区域中包含的血流信息的方法，装置和系统公开(公告)号：US09390510B2
公开(公告)日：2016-07-12
申请号：US14444565
申请日：2014-07-28
发明人： Jae-Keun Lee , Dong-Seok Lee
CPC分类号： G06T7/0081 , A61B8/06 , A61B8/465 , A61B8/468 , A61B8/469 , A61B8/488 , A61B8/5223 , A61B8/5292 , G06K9/0014 , G06T2207/10132 , G06T2207/30104
摘要： Disclosed is an ultrasound image processing method. The ultrasound image processing method includes generating an ultrasound image indicating a region of interest (ROI) by using echo signals which corresponds to ultrasound waves irradiated onto the ROI, sequentially setting respective indexes in a plurality of blood flows included in the ROI detected based on the ultrasound image, determining blood flow corresponding to a selected index, based on an external signal for selecting one of the set indexes, and displaying information corresponding to the determined blood flow.
摘要翻译： 公开了一种超声波图像处理方法。 超声波图像处理方法包括通过使用对应于照射到ROI上的超声波的回波信号来生成表示感兴趣区域（ROI）的超声波图像，依次设定基于检测到的ROI中包含的多个血流中的各个指标 超声图像，基于用于选择所述设定指标之一的外部信号，确定与所选择的指标相对应的血流，以及显示与所确定的血流相对应的信息。
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公开(公告)号：US09384555B2
公开(公告)日：2016-07-05
申请号：US13540174
申请日：2012-07-02
申请人： Marco Razeto , Sebastian Meller
发明人： Marco Razeto , Sebastian Meller
CPC分类号： G06T7/0081 , A61B6/507 , G06T7/0016 , G06T7/11 , G06T7/337 , G06T2207/10016 , G06T2207/30008
摘要： An apparatus for providing a motion-corrected time series of image data sets, comprises an image selection unit for obtaining a series of sets of image data, each set of image data representative of a region at a different time, and for automatically determining a sub-region of interest, and a registration unit that is configured to, for each of a plurality of sets of image data in the series, perform a registration, for the sub-region of interest, to register one of a reference data set of the series and the set of image data to the other of that reference data set and the set of image data.
摘要翻译： 一种用于提供运动校正的时间序列的图像数据集的装置，包括：图像选择单元，用于获取一系列图像数据，每组图像数据表示不同时间的区域，并且用于自动确定子图像 以及注册单元，其被配置为针对所述一系列的多个图像数据组中的每一个对所述感兴趣的子区域进行注册，以登记所述感兴趣的所述基准数据集的参考数据集 系列和图像数据集合到该参考数据集和图像数据集合中的另一个。
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29.发明授权公开(公告)号：US09349186B2
公开(公告)日：2016-05-24
申请号：US14177414
申请日：2014-02-11
CPC分类号： G06T7/0081 , G06T7/11 , G06T7/143 , G06T7/149 , G06T7/174 , G06T2200/04 , G06T2207/10072 , G06T2207/20076 , G06T2207/20128 , G06T2207/30016
摘要： The system and method of the invention combines target image intensity into a maximum likelihood estimate (MLE) framework as in STAPLE to take advantage of both intensity-based segmentation and statistical label fusion based on atlas consensus and performance level, abbreviated iSTAPLE. The MLE framework is then solved using a modified expectation-maximization algorithm to simultaneously estimate the intensity profiles of structures of interest as well as the true segmentation and atlas performance level. The iSTAPLE greatly extends the use of atlases such that the target image need not have the same image contrast and intensity range as the atlas images.
摘要翻译： 本发明的系统和方法将目标图像强度与STAPLE中的最大似然估计（MLE）框架相结合，以利用基于图集共识和性能水平（简称为iSTAPLE）的基于强度的分割和统计标签融合。 然后使用修改的期望最大化算法来解决MLE框架，以同时估计感兴趣的结构的强度分布以及真实的分段和图谱性能水平。 iSTAPLE大大扩展了地图集的使用，使得目标图像不需要具有与图集图像相同的图像对比度和强度范围。
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公开(公告)号：US09269155B2
公开(公告)日：2016-02-23
申请号：US13669453
申请日：2012-11-06
发明人： Tao Zhang , Yu-Pao Tsai
IPC分类号： G06T7/00
CPC分类号： G06T7/0081 , G06T7/11 , G06T7/187 , G06T7/194 , G06T2207/10024 , G06T2207/10028 , G06T2207/20076
摘要： An exemplary region growing method include at least the following steps: selecting a seed point of a current frame as an initial growing point of a region in the current frame; determining a background confidence value at a neighboring pixel around the seed point; and utilizing a processing unit for checking if the neighboring pixel is allowed to be included in the region according to at least the background confidence value.
摘要翻译： 示例性区域生长方法至少包括以下步骤：选择当前帧的种子点作为当前帧中的区域的初始生长点; 确定所述种子点周围的相邻像素处的背景置信度值; 以及利用处理单元，根据至少所述背景置信度值来检查所述相邻像素是否被允许包含在所述区域中。
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