METHOD FOR EFFICIENT REPRESENTATION AND PROCESSING OF COLOR PIXEL DATA IN DIGITAL PATHOLOGY IMAGES
    91.
    发明申请
    METHOD FOR EFFICIENT REPRESENTATION AND PROCESSING OF COLOR PIXEL DATA IN DIGITAL PATHOLOGY IMAGES 有权
    数字图像中彩色像素数据的有效表示和处理方法

    公开(公告)号:US20120263356A1

    公开(公告)日:2012-10-18

    申请号:US13085280

    申请日:2011-04-12

    IPC分类号: G06K9/00

    摘要: Efficient representation of color digital pathology images (DPI) is described herein, which is accomplished by exploiting properties unique to such images. The method decomposes the data into constituent parts whose relative importance is able to be specified, allowing the data to be accurately represented with less bit precision, less spatial resolution or less spectral resolution. Two specific areas where the method is able to be utilized include: (1) more-efficient image compression; and (2) more efficient processing of the data. Efficient image compression is accomplished by assigning fewer bits to less-important colors. Efficient data processing is accomplished by processing only those colors, or combinations of colors, that are deemed important.

    摘要翻译: 本文描述了彩色数字病理图像(DPI)的有效表示,其通过利用这些图像独特的属性来实现。 该方法将数据分解成能够指定相对重要性的组成部分,允许以较少的位精度,较小的空间分辨率或较少的光谱分辨率精确地表示数据。 该方法能够利用的两个具体领域包括:(1)更有效的图像压缩; 和(2)更有效地处理数据。 通过将较少的位分配给不太重要的颜色来实现高效图像压缩。 高效的数据处理是通过仅处理被认为重要的那些颜色或颜色的组合来实现的。

    System and method for effectively performing an integrated segmentation procedure
    92.
    发明申请
    System and method for effectively performing an integrated segmentation procedure 有权
    用于有效执行集成分割过程的系统和方法

    公开(公告)号:US20120251000A1

    公开(公告)日:2012-10-04

    申请号:US13065852

    申请日:2011-03-31

    IPC分类号: G06K9/34

    摘要: A system and method for effectively performing an integrated segmentation procedure comprises an image segmenter that includes a texture modeler, a contrast modeler, and a model integrator. The texture modeler creates a texture model based upon an original image. Similarly, the contrast modeler creates a contrast model based upon the original image. The model integrator then performs a model integration procedure to create a final segmented image by integrating the texture model and the contrast model according to a calculated texture model metric. A processor of an electronic device typically controls the image segmenter to perform the integrated segmentation procedure.

    摘要翻译: 用于有效执行集成分割过程的系统和方法包括包括纹理建模器,对比度建模器和模型积分器的图像分割器。 纹理建模者基于原始图像创建纹理模型。 类似地,对比建模者基于原始图像创建对比模型。 然后,模型积分器执行模型集成过程,以根据计算的纹理模型度量来整合纹理模型和对比度模型来创建最终的分割图像。 电子设备的处理器通常控制图像分割器来执行集成分割过程。

    System and method for effectively performing an image identification procedure
    93.
    发明申请
    System and method for effectively performing an image identification procedure 有权
    用于有效执行图像识别程序的系统和方法

    公开(公告)号:US20120250987A1

    公开(公告)日:2012-10-04

    申请号:US13065874

    申请日:2011-03-31

    IPC分类号: G06K9/00

    摘要: A system and method for effectively performing an image identification procedure includes an image matching manager that derives source characteristics for a source image and target characteristics for target images. The image matching manager compares the source characteristics and the target characteristics to determine whether the source image matches any of the target images. The source characteristics and the target characteristics may include color-space characteristics and curve-space characteristics from the respective images. A processor of an electronic device typically controls the image matching manager to effectively perform the image identification procedure.

    摘要翻译: 用于有效执行图像识别过程的系统和方法包括导出源图像的源特征的图像匹配管理器和目标图像的目标特性。 图像匹配管理器比较源特征和目标特征,以确定源图像是否匹配任何目标图像。 源特征和目标特征可以包括来自各个图像的颜色空间特性和曲线空间特性。 电子设备的处理器通常控制图像匹配管理器以有效地执行图像识别过程。

    System and method for effectively implementing a stroboscopic visual effect
    94.
    发明申请
    System and method for effectively implementing a stroboscopic visual effect 有权
    有效实施频闪视觉效果的系统和方法

    公开(公告)号:US20120242779A1

    公开(公告)日:2012-09-27

    申请号:US13065445

    申请日:2011-03-22

    IPC分类号: H04N9/74 H04N7/00 H04N5/45

    摘要: A system and method for effectively implementing a stroboscopic visual effect with a television device includes a strobe engine that analyzes video data to create a sequence of stroboscopic images based upon motion information from the video data. The television utilizes a display manager to present the stroboscopic images and the video data on a display device during a strobe display mode. A processor device of the television typically controls the operations of the strobe engine and the display manager to implement the stroboscopic visual effect.

    摘要翻译: 一种用于利用电视设备有效地实现频闪视觉效果的系统和方法包括:选通引擎,其基于来自视频数据的运动信息,分析视频数据以创建频闪图像序列。 在选通显示模式期间,电视机利用显示管理器在显示设备上呈现频闪图像和视频数据。 电视机的处理器装置通常控制频闪发动机和显示管理器的操作以实现频闪视觉效果。

    Video system with blocking artifact two-dimensional cross filtering
    95.
    发明授权
    Video system with blocking artifact two-dimensional cross filtering 失效
    视频系统具有阻塞伪像二维交叉滤波

    公开(公告)号:US08265421B2

    公开(公告)日:2012-09-11

    申请号:US12266551

    申请日:2008-11-06

    IPC分类号: G06K9/40

    摘要: A video system includes: analyzing video data, having a block; performing a transition change detection for determining a spatial intensity transition within the block; performing a block-wise similarity measurement on the block in the video data for identifying a blocking artifact; and filtering with a two dimensional cross filter every pixel in the block for removing the blocking artifact.

    摘要翻译: 视频系统包括:分析具有块的视频数据; 执行用于确定所述块内的空间强度转换的转变变化检测; 对所述视频数据中的块进行块式相似度测量,以识别块伪影; 并使用块中的每个像素对二维交叉滤波进行滤波,以消除块伪影。

    System and method for effectively performing a scene rectification procedure
    96.
    发明申请
    System and method for effectively performing a scene rectification procedure 有权
    有效执行场景整改程序的系统和方法

    公开(公告)号:US20120219221A1

    公开(公告)日:2012-08-30

    申请号:US12932457

    申请日:2011-02-25

    IPC分类号: G06K9/34 G06K9/00

    摘要: A system and method for effectively performing a scene rectification procedure comprises an image manager that includes a segmentation module, a label module, and a rectification module. The segmentation module initially performs a segmentation procedure upon an image to produce corresponding sub-scenes. The label module then categorizes the sub-scenes by assigning initial labels without utilizing context information from other sub-scenes in the image. The rectification module performs a semantic grouping procedure upon the sub-scenes to produce semantic group nodes corresponding to pairs of the sub-scenes that have a predefined semantic relationship. The rectification module converts a sub-scene graph of the sub-scenes into a semantic graph that includes the semantic group nodes. The rectification module then performs a rectification procedure to convert the initial labels of the sub-scenes into rectified labels. A processor of an electronic device typically controls the image manager for performing the scene rectification procedure.

    摘要翻译: 一种用于有效执行场景整流过程的系统和方法包括:图像管理器,其包括分割模块,标签模块和整流模块。 分割模块最初在图像上执行分割过程以产生相应的子场景。 然后,标签模块通过分配初始标签而不利用图像中其他子场景的上下文信息对子场景进行分类。 整流模块在子场景上执行语义分组过程,以产生与具有预定义语义关系的子场对对应的语义组节点。 整流模块将子场景的子场景图转换为包含语义组节点的语义图。 然后,整流模块执行整流过程,将子场景的初始标签转换为整流标签。 电子设备的处理器通常控制图像管理器执行场景校正过程。

    Recursive image quality enhancement on super resolution video
    97.
    发明授权
    Recursive image quality enhancement on super resolution video 有权
    超分辨率视频的递归图像质量增强

    公开(公告)号:US08233541B2

    公开(公告)日:2012-07-31

    申请号:US12056119

    申请日:2008-03-26

    申请人: Ming-Chang Liu

    发明人: Ming-Chang Liu

    IPC分类号: H03K11/00 H04L25/60 H04L25/00

    CPC分类号: G06T3/4053

    摘要: Method and apparatus for improving the quality of super-resolution video imaging by suppressing ringing artifacts, reducing high-frequency noise, reducing blocking artifacts, and smoothing out jagged edges of the image to generate pictures that appear cleaner with less edge degradation. The method operates in a recursive manner within a sequence of low resolution images. Conventional SR processing is primarily enhanced within the invention by adding an artifact suppression section which creates a high frequency component signal ΔSRi having significantly reduced artifacts therein achieving higher quality super-resolution image output. The method can be applied to images and image sequences (video) in monochrome or color and in any desired pixel format. The method can be implemented within image processing devices, in particular those containing programming for executing the described method steps.

    摘要翻译: 用于通过抑制振铃伪像,降低高频噪声,减少块伪影并平滑图像的锯齿状边缘以产生出现更清晰且具有较少边缘退化的图像的方法和装置。 该方法以递归方式在低分辨率图像序列内操作。 传统的SR处理在本发明中通过增加伪像抑制部分来增强,该伪像抑制部分产生具有显着减少的伪影的高频分量信号& SR1,其中实现更高质量的超分辨率图像输出。 该方法可以应用于单色或彩色和任何所需像素格式的图像和图像序列(视频)。 该方法可以在图像处理设备内实现,特别是包含用于执行所描述的方法步骤的编程的设备。

    SHAPE DESCRIPTION AND MODELING FOR IMAGE SUBSCENE RECOGNITION
    98.
    发明申请
    SHAPE DESCRIPTION AND MODELING FOR IMAGE SUBSCENE RECOGNITION 有权
    形状描述和图像识别的建模

    公开(公告)号:US20120163706A1

    公开(公告)日:2012-06-28

    申请号:US12975950

    申请日:2010-12-22

    IPC分类号: G06K9/62 G06K9/46

    摘要: A method and apparatus is described here that categorizes images by extracting a subscene and describing the subscene with a top level feature vector and a division feature vector, which are descriptions of edge gradient classifications within rectangular bounding boxes. By filtering subscene feature vectors in images with a Gaussian mixture based model pool (obtained in a subscene modeling phase), the images may be categorized (in an subscene recognition phase) with probabilities relating to each subscene. Higher probabilities are likelier correlations. The device may be a single or multiple core CPU, or parallelized vector processor for characterizing many images. The images may be photographs, videos, or video stills, without restriction. When used real-time, the method may be used for visual searching or sorting.

    摘要翻译: 这里描述了一种方法和装置,其通过提取一个子序列并用顶层特征向量和分割特征向量来描述该次序,从而对图像进行分类,这是在矩形边界框内的边缘梯度分类的描述。 通过用基于高斯混合的模型池(在亚视觉建模阶段获得)的图像中滤除子图像特征向量,可以将图像分类为(在子序列识别阶段),其具有与每个亚型相关的概率。 更高的概率是可能的相关性。 该设备可以是用于表征许多图像的单个或多个核心CPU或并行化矢量处理器。 图像可以是照片,视频或视频静止图像,没有限制。 当实时使用时,该方法可用于视觉搜索或排序。

    PATCH DESCRIPTION AND MODELING FOR IMAGE SUBSCENE RECOGNITION
    99.
    发明申请
    PATCH DESCRIPTION AND MODELING FOR IMAGE SUBSCENE RECOGNITION 有权
    图像描述和图像识别的建模

    公开(公告)号:US20120155766A1

    公开(公告)日:2012-06-21

    申请号:US12972162

    申请日:2010-12-17

    IPC分类号: G06K9/34 G06K9/62

    摘要: A method and apparatus is described that categorizes images by extracting regions and describing the regions with a set of 15-dimensional image patch feature vectors, which are concatenations of color and texture feature vectors. By comparing the image patch feature vectors in images with similarly-obtained image patch vectors in a Gaussian mixture based model pool (obtained in an image patch modeling phase), the images may be categorized (in an image patch recognition phase) with probabilities relating to each image patch. Higher probabilities are likelier correlations. The device may be a single or multiple core CPU, or parallelized vector processor for characterizing many images. The images may be photographs, videos, or video stills, without restriction. When used real-time, the method may be used for visual searching or sorting.

    摘要翻译: 描述了一种方法和装置,其通过提取区域并且用一组15维图像贴片特征向量来描述图像,该图像斑块特征向量是颜色和纹理特征向量的连接。 通过将图像中的图像块特征向量与基于高斯混合的模型池(在图像块建模阶段中获得)中的类似获得的图像块向量进行比较,可以将图像分类(在图像块识别阶段中),其概率与 每个图像补丁。 更高的概率是可能的相关性。 该设备可以是用于表征许多图像的单个或多个核心CPU或并行化矢量处理器。 图像可以是照片,视频或视频静止图像,没有限制。 当实时使用时,该方法可用于视觉搜索或排序。

    VANISHING POINT ESTIMATION SYSTEM AND METHODS
    100.
    发明申请
    VANISHING POINT ESTIMATION SYSTEM AND METHODS 有权
    VANISHING POINT估计系统和方法

    公开(公告)号:US20120141015A1

    公开(公告)日:2012-06-07

    申请号:US12962634

    申请日:2010-12-07

    IPC分类号: G06K9/00

    CPC分类号: G06T7/13 G06T2207/20164

    摘要: System and methods for estimating a vanishing point within an image, including comprising: programming executable on a processor for computing line segment estimation of one or more lines in said image, wherein one or more of the lines comprise multiple line segments as a single least-mean-square-error (LMSE) fitted lines. Additionally the one or more lines having multiple line segments are represented as a single least-mean-square-error (LMSE) fitted line, and the one or more lines are intersected to locate a vanishing point in a density space.

    摘要翻译: 用于估计图像内的消失点的系统和方法,包括:编程在处理器上可执行,用于计算所述图像中的一行或多行的线段估计,其中一行或多行包括多个线段作为单个最小 - 均方误差(LMSE)拟合线。 另外,具有多个线段的一个或多个线被表示为单个最小均方误差(LMSE)拟合线,并且一条或多条线相交以在密度空间中定位消失点。