Image sharpening via gradient environment detection
    81.
    发明授权
    Image sharpening via gradient environment detection 有权
    通过梯度环境检测图像锐化

    公开(公告)号:US08582890B2

    公开(公告)日:2013-11-12

    申请号:US12987759

    申请日:2011-01-10

    申请人: Orly Liba

    发明人: Orly Liba

    IPC分类号: G06K9/48 G06K9/56 G06K9/40

    摘要: In an embodiment, a device comprises a plurality of elements, including logical elements, wherein the elements are configured to perform the operations of: in a neighborhood of pixels surrounding and including a particular pixel, applying a filter to multiple groups of pixels in the neighborhood to generate a set of filtered values; generating, based at least in part upon the set of filtered values, one or more sets of gradient values; based at least in part upon the one or more sets of gradient values, computing a first metric for an image environment in which the particular pixel is situated; determining a second metric for the image environment in which the particular pixel is situated, wherein the second metric distinguishes between a detail environment; and based at least in part upon the first metric and the second metric, computing a gradient improvement (GI) metric for the particular pixel.

    摘要翻译: 在一个实施例中,设备包括多个元素,包括逻辑元件,其中元件被配置为执行以下操作:在围绕并包括特定像素的像素周围,向邻域中的多组像素应用滤波器 生成一组过滤值; 至少部分地基于所述滤波值集合生成一组或多组梯度值; 至少部分地基于所述一组或多组梯度值,计算特定像素位于其中的图像环境的第一度量; 确定特定像素所在的图像环境的第二度量,其中所述第二度量区分细节环境; 并且至少部分地基于第一度量和第二度量来计算特定像素的梯度改进(GI)度量。

    Image processing using stability criteria for window of pixels
    82.
    发明授权
    Image processing using stability criteria for window of pixels 失效
    使用像素窗口的稳定性标准的图像处理

    公开(公告)号:US08565533B1

    公开(公告)日:2013-10-22

    申请号:US13768133

    申请日:2013-02-15

    IPC分类号: G06K9/56 G06T5/00

    摘要: Some of the embodiments of the present disclosure provide a method comprising selecting a pixel window of image data, the pixel window including a target pixel, determining a stability of the pixel window, formulating a look up table address based at least in part on the determined stability, obtaining one or more image enhancement values from a look up table based at least in part on the formulated look up table address, and processing the target pixel based at least in part on the obtained one or more image enhancement values. Other embodiments are also described and claimed.

    摘要翻译: 本公开的一些实施例提供了一种方法,包括:选择图像数据的像素窗口,包括目标像素的像素窗口,确定像素窗口的稳定性,至少部分地基于所确定的像素窗口来确定查找表地址 稳定性,至少部分地基于所配置的查找表地址从查找表获得一个或多个图像增强值,以及至少部分地基于所获得的一个或多个图像增强值来处理所述目标像素。 还描述和要求保护其他实施例。

    Extensible system and method for stereo matching in real-time
    83.
    发明授权
    Extensible system and method for stereo matching in real-time 有权
    实时立体匹配的可扩展系统和方法

    公开(公告)号:US08340397B2

    公开(公告)日:2012-12-25

    申请号:US11678428

    申请日:2007-02-23

    摘要: Disclosed are a system and a method extensible for performing, in real-time, stereo snatching for calculating depth images with a result of searching for points of similarity by using images taken with two cameras. The system includes a coordinate creating module, a census transform module, a delay XOR calculation module, a stereo matching module, and a control module. Accordingly, by using the system extensible for performing stereo matching, depth information of corrected images can be acquired in real-time without using computer systems or software programs for special purposes. Furthermore, since the system extensible for performing stereo matching can be simply realized by hardware, the system and the method of the present invention can be easily applied to actual intellectual-type robots, industrial settings, etc.

    摘要翻译: 公开了一种可扩展的系统和方法,用于实时地执行用于计算深度图像的立体声捕获,其结果是通过使用用两个相机拍摄的图像来搜索相似点。 该系统包括坐标创建模块,普查变换模块,延迟XOR计算模块,立体匹配模块和控制模块。 因此,通过使用可扩展的用于执行立体匹配的系统,可以实时获取校正图像的深度信息,而不用于特殊目的的计算机系统或软件程序。 此外,由于用于执行立体匹配的可扩展的系统可以通过硬件简单地实现,所以本发明的系统和方法可以容易地应用于实际的智能机器人,工业设置等。

    Recognition of parameterised shapes from document images
    84.
    发明授权
    Recognition of parameterised shapes from document images 有权
    从文件图像中识别参数化形状

    公开(公告)号:US08238666B2

    公开(公告)日:2012-08-07

    申请号:US11946602

    申请日:2007-11-28

    CPC分类号: G06K9/6204 G06K9/00456

    摘要: A method (1100) of creating a document comprising a modifiable shape, is disclosed. The method analyzes an image to detect at least a graphical object. The method matches the detected graphical object with at least one of a plurality of predetermined modifiable closed-form non-textual template shapes (e.g., 420) comprising control parameters for modifying the closed-form non-textual template shape in a non-affine manner. The number of control parameters of the predetermined modifiable closed-form non-textual template shape is less than the number of sections making up the modifiable closed-form non-textual template shape. The method creates a document comprising the at least one modifiable closed-form non-textual template shape.

    摘要翻译: 公开了一种创建包括可修改形状的文档的方法(1100)。 该方法分析图像以至少检测图形对象。 该方法将检测到的图形对象与多个预定可修改的封闭形式非文本模板形状(例如,420)中的至少一个相匹配,包括用于以非仿射方式修改封闭形式的非文本模板形状的控制参数 。 预定的可修改的封闭形式的非文本模板形状的控制参数的数量小于构成可修改的封闭形式的非文本模板形状的部分的数量。 该方法创建包括至少一个可修改的封闭形式的非文本模板形状的文档。

    Object detecting apparatus and learning apparatus for the same
    85.
    发明授权
    Object detecting apparatus and learning apparatus for the same 有权
    对象检测装置及其学习装置

    公开(公告)号:US08233720B2

    公开(公告)日:2012-07-31

    申请号:US11917067

    申请日:2006-06-14

    IPC分类号: G06K9/00 G06K9/36 G06K9/56

    摘要: An object detecting apparatus capable of suppressing an increase of processing loads with high accuracy and a learning apparatus for the same are provided. An object detecting apparatus includes an image window extracting portion (210) for extracting an image window as a partial area of an image in plural from an input image, and a network identifier (590) for detecting a presence of an object from extracted image windows respectively by using a node network in which nodes each having an identifier for identifying the object stored in a storing portion (502) are connected as a network.

    摘要翻译: 提供一种能够以高精度抑制处理负荷的增加的物体检测装置和用于其的学习装置。 对象检测装置包括:图像窗口提取部分,用于从输入图像中提取作为多个图像的部分区域的图像窗口;以及网络标识符(590),用于检测来自提取的图像窗口的对象的存在 分别通过使用节点网络,其中每个具有用于识别存储在存储部分(502)中的对象的标识符的节点作为网络连接。

    Apparatus and method for selectively outputing image frames
    86.
    发明授权
    Apparatus and method for selectively outputing image frames 有权
    用于选择性地输出图像帧的装置和方法

    公开(公告)号:US08023769B2

    公开(公告)日:2011-09-20

    申请号:US11714829

    申请日:2007-03-07

    CPC分类号: H04N1/3876 H04N1/3872

    摘要: An apparatus and method for selectively outputting image frames are provided. The apparatus includes a main topic frame extractor which extracts a main topic frame, which expresses a main topic selected by a user, from continuous image frames; a composite image frame creator which extracts a key object to realize the main topic from the main topic frames, and estimates a background object with respect to the key object to create a composite image frame using the key object and the background object; a wide-angle image frame creator which creates a wide-angle image frame, which includes the composite image frame and an image frame having common information to the composite image frame, among the continuous image frames; an attractive region setting unit which sets an attractive region with respect to the wide-angle image frame; and an output unit which outputs the attractive region.

    摘要翻译: 提供了选择性地输出图像帧的装置和方法。 该装置包括主要帧提取器,其从连续的图像帧中提取表示用户选择的主要主题的主要主题帧; 合成图像帧创建器,其从主要主题帧中提取关键对象以实现主题,并且使用关键对象和背景对象估计关于对象的背景对象以创建合成图像帧; 在连续图像帧中创建包括合成图像帧的广角图像帧和具有到合成图像帧的公共信息的图像帧的广角图像帧创建器; 吸引区域设定单元,其相对于广角图像帧设置吸引区域; 以及输出单元,其输出吸引区域。

    Image processing apparatus, image processing method and record medium for the image processing apparatus
    87.
    发明授权
    Image processing apparatus, image processing method and record medium for the image processing apparatus 有权
    用于图像处理装置的图像处理装置,图像处理方法和记录介质

    公开(公告)号:US07702158B2

    公开(公告)日:2010-04-20

    申请号:US10689755

    申请日:2003-10-21

    申请人: Kazuhito Saeki

    发明人: Kazuhito Saeki

    IPC分类号: G06K9/56 G06K9/40

    CPC分类号: G06T7/12 G06T2207/30164

    摘要: Plural window elements are set in one edge window, and edge detection is performed every each the window element, and calculation and determination about its result are made inside an image processing apparatus. A user can freely set a width of the window element and a distance between the adjacent window elements.

    摘要翻译: 多个窗口元素设置在一个边缘窗口中,并且每个窗口元素执行边缘检测,并且在图像处理设备内进行关于其结果的计算和确定。 用户可以自由地设置窗口元素的宽度和相邻窗口元素之间的距离。

    Methods and systems for ultrasound inspection
    88.
    发明授权
    Methods and systems for ultrasound inspection 有权
    超声检查方法和系统

    公开(公告)号:US07606445B2

    公开(公告)日:2009-10-20

    申请号:US11290649

    申请日:2005-11-30

    IPC分类号: G06K9/56

    摘要: Methods and systems for measuring indications in an image are provided. The method includes acquiring image data that includes a potential indication, processing the data such that features of the indication are enhanced, thresholding the data such that the indication is separated from the remaining data, determining a size of the indication, and displaying a determined size of the indication.

    摘要翻译: 提供了用于测量图像中的指示的方法和系统。 该方法包括获取包括潜在指示的图像数据,处理数据使得指示的特征被增强,阈值化数据使得指示与剩余数据分离,确定指示的大小,以及显示确定的大小 的指示。

    COEFFICIENT DETERMINING METHOD, FEATURE EXTRACTING METHOD, SYSTEM, AND PROGRAM, AND PATTERN CHECKING METHOD, SYSTEM, AND PROGRAM
    89.
    发明申请
    COEFFICIENT DETERMINING METHOD, FEATURE EXTRACTING METHOD, SYSTEM, AND PROGRAM, AND PATTERN CHECKING METHOD, SYSTEM, AND PROGRAM 有权
    系统确定方法,特征提取方法,系统和程序,以及模式检查方法,系统和程序

    公开(公告)号:US20090123077A1

    公开(公告)日:2009-05-14

    申请号:US12091160

    申请日:2006-10-23

    申请人: Hitoshi Imaoka

    发明人: Hitoshi Imaoka

    IPC分类号: G06K9/56

    CPC分类号: G06K9/00288 G06K9/6235

    摘要: [PROBLEMS] To provide a feature extracting method for quickly extracting a feature while preventing lowering of the identification performance of the kernel judgment analysis, a feature extracting system, and a feature extracting program. [MEANS FOR SOLVING PROBLEMS] Judgment feature extracting device (104) computes an interclass covariance matrix SB and an intraclass covariance matrix SW about a learning face image prepared in advance, determines optimum vectors η, γ which maximizes the ratio of the interclass covariance to the intraclass covariance, derives a conversion formula for converting an inputted frequency feature vector x into a frequency feature vector y in a judgment space, and extracts judgment features of a face image for record and a face image for check by using a restructured conversion formula. Similarity computing device (105) computes the similarity by comparing the judgment features. Check judging device judges whether or not the persons are the same by comparing the similarity with a threshold.

    摘要翻译: [问题]提供一种特征提取方法,用于快速提取特征,同时防止降低核心判断分析的识别性能,特征提取系统和特征提取程序。 [解决问题的手段]判断特征提取装置(104)计算关于预先准备的学习面部图像的类间协方差矩阵SB和类内协方差矩阵SW,确定最佳向量eta,使最大化跨类协方差与 类内协方差导出用于将输入的频率特征向量x转换为判断空间中的频率特征向量y的转换公式,并且通过使用重构的转换公式来提取用于记录的面部图像的判断特征和用于检查的面部图像。 相似度计算装置(105)通过比较判断特征来计算相似度。 检查判断装置通过将相似度与阈值进行比较来判断人是否相同。

    Method and apparatus for adaptive pixel correction of multi-color matrix
    90.
    发明授权
    Method and apparatus for adaptive pixel correction of multi-color matrix 有权
    多色矩阵自适应像素校正方法与装置

    公开(公告)号:US07477781B1

    公开(公告)日:2009-01-13

    申请号:US10658523

    申请日:2003-09-10

    IPC分类号: G06K9/00 G06K9/56 G06K9/32

    CPC分类号: H04N5/367 H04N9/045

    摘要: A method of adaptive pixel correction of a multi-color matrix from a sensor includes collecting pixel values, generating plural vectors, normalizing values and determining an estimated value. The collecting pixel values collects values of a two-dimensional multi-pixel kernel around a particular pixel from the multi-color matrix. The generating plural vectors generates vectors from the kernel where each vector has the particular pixel as a central element. The normalizing values normalizes values for nearest neighbor elements to the central element for each vector. The determining an estimated value determines the value based on the normalized values.

    摘要翻译: 来自传感器的多色矩阵的自适应像素校正方法包括收集像素值,生成多个向量,归一化值和确定估计值。 采集像素值从多色矩阵中收集围绕特定像素的二维多像素核的值。 生成多个向量从内核生成向量,其中每个向量具有特定像素作为中心元素。 归一化值使每个向量的中心元素的最近邻元素的值标准化。 确定估计值基于归一化值确定值。