利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

18 条记录 (耗时 0.021 秒)

    Method and system for classifying and processing of pixels of image data
    1.
    发明授权
    Method and system for classifying and processing of pixels of image data 有权
    用于图像数据像素分类和处理的方法和系统

    公开(公告)号：US06347153B1

    公开(公告)日：2002-02-12

    申请号：US09159534

    申请日：1998-09-23

    申请人： Roger L. Triplett ,  Raymond J. Clark ,  Jeng-Nan Shiau

    发明人： Roger L. Triplett ,  Raymond J. Clark ,  Jeng-Nan Shiau

    IPC分类号： G06K962

    CPC分类号： H04N1/40062 ,  G06T7/44 ,  G06T2207/10008

    摘要： A system and method classify a pixel of image data as one of a plurality of image types. A first image characteristic value for the pixel, a second image characteristic value for the pixel, a third image characteristic value for the pixel, and a fourth image characteristic for the pixel is determined. Some of these determinations may be resolution dependent. The values from these determination are utilized in assigning an image type classification to the pixel. An auto-segmentation circuit enables classifying a pixel as a continuous tone and detecting a gradient in the window of pixels of which the pixel is a member. A filter enhances the image data of the pixel tone when a gradient indicating that image data within the window of pixels is changing at a rate greater than a predetermined threshold is detected or lowpasses the image data of the pixel tone when a gradient indicating that image data within the window of pixels is changing at a rate less than a predetermined threshold is detected.

    摘要翻译： 系统和方法将图像数据的像素分类为多个图像类型之一。 确定像素的第一图像特征值，像素的第二图像特征值，像素的第三图像特征值和用于像素的第四图像特性。 这些确定中的一些可能取决于分辨率。 来自这些确定的值被用于为像素分配图像类型分类。 自动分割电路可以将像素分类为连续色调，并且检测像素是其成员的像素的窗口中的梯度。 当指示像素窗口内的图像数据以大于预定阈值的速率变化的梯度被检测到时，滤波器增强像素色调的图像数据，或者当指示图像数据的梯度时，滤波器将低于像素色调的图像数据 在像素窗口内以小于预定阈值的速率进行检测。

    Method and system for classifying and processing of pixels of image data
    2.
    发明授权
    Method and system for classifying and processing of pixels of image data 失效
    用于图像数据像素分类和处理的方法和系统

    公开(公告)号：US06229923B1

    公开(公告)日：2001-05-08

    申请号：US09010025

    申请日：1998-01-21

    申请人： Leon C. Williams ,  Raymond J. Clark ,  Jeng-Nan Shiau

    发明人： Leon C. Williams ,  Raymond J. Clark ,  Jeng-Nan Shiau

    IPC分类号： G06K962

    CPC分类号： G06K9/00456

    摘要： A system and method classify a pixel of image data as one of a plurality of image types. A first image characteristic value for the pixel, a second image characteristic value for the pixel, a third image characteristic value for the pixel, and a fourth image characteristic for the pixel is determined. Some of these determinations may be resolution dependent. The values from these determination are utilized in assigning an image type classification to the pixel. Moreover, if at least one of the image characteristic values is greater than a predetermined threshold value the pixel is classified as a halftone peak value. The system includes a plurality of microclassifiers for determining a distinct image characteristic value of the pixel; a plurality of macroreduction circuits connected to the plurality of microclassifiers for performing further higher level operations upon the distinct image characteristic values of the pixel to produce reduced values; and a classification circuit to classify the pixel as an image type based on the reduced values from the macroreduction circuits. The system also includes a circuit to detect flat peaks without detecting multiple peaks and a rectangular blur filtering system.

    摘要翻译： 系统和方法将图像数据的像素分类为多个图像类型之一。 确定像素的第一图像特征值，像素的第二图像特征值，像素的第三图像特征值和用于像素的第四图像特性。 这些确定中的一些可能取决于分辨率。 来自这些确定的值被用于为像素分配图像类型分类。 此外，如果图像特征值中的至少一个大于预定阈值，则将像素分类为半色调峰值。 该系统包括用于确定像素的不同图像特征值的多个微分类器; 连接到所述多个微分类器的多个宏观还原电路，用于根据所述像素的不同图像特征值进行更高级的操作以产生减小的值; 以及分类电路，用于基于来自大致减小电路的减小值将像素分类为图像类型。 该系统还包括用于检测平坦峰而不检测多个峰的电路和矩形模糊滤波系统。

    Method and system for fuzzy image classification
    3.
    发明授权
    Method and system for fuzzy image classification 失效
    模糊图像分类方法和系统

    公开(公告)号：US5765029A

    公开(公告)日：1998-06-09

    申请号：US646540

    申请日：1996-05-08

    申请人： Stuart A. Schweid ,  Jeng-Nan Shiau ,  Raymond J. Clark

    发明人： Stuart A. Schweid ,  Jeng-Nan Shiau ,  Raymond J. Clark

    IPC分类号： G06T5/20 ,  G06T7/40 ,  H04N1/40 ,  G06F9/44 ,  G06K9/46

    CPC分类号： G06T7/403 ,  H04N1/40062 ,  Y10S706/90

    摘要： A method and system electronically fuzzy classify a pixel belonging to a set of digital image data with respect to a membership of the pixel in a plurality of image classes. This process determines a fuzzy classification of the pixel and generates an effect tag for the pixel based on the fuzzy classification determination. Each class is defined by a set of heuristic rules such that the image classes are non-mutually exclusive. The heuristic rules are a set of conditions that define the membership value of the pixel within a certain class, thereby allowing a pixel to have a membership value in every possible image class.

    摘要翻译： 电子模糊方法和系统相对于多个图像类别中的像素的隶属度来归类属于一组数字图像数据的像素。 该过程确定像素的模糊分类，并且基于模糊分类确定为像素生成效应标签。 每个类由一组启发式规则定义，使得图像类是非互斥的。 启发式规则是一组条件，用于定义某个类中像素的隶属度值，从而允许像素在每个可能的图像类中具有隶属值。

    Method and apparatus for implementing integrated cavity effect correction in scanners
    4.
    发明授权
    Method and apparatus for implementing integrated cavity effect correction in scanners 有权
    在扫描仪中实现集成腔效应校正的方法和装置

    公开(公告)号：US06631215B1

    公开(公告)日：2003-10-07

    申请号：US09448009

    申请日：1999-11-23

    申请人： Jeng-nan Shiau ,  Raymond J. Clark ,  Stuart A. Schweid ,  Terri A. Clingerman

    发明人： Jeng-nan Shiau ,  Raymond J. Clark ,  Stuart A. Schweid ,  Terri A. Clingerman

    IPC分类号： G06K940

    CPC分类号： G06T5/20

    摘要： A method and apparatus are provided for determining a weighted average measured reflectance parameter Rm for pixels in an image for use in integrated cavity effect correction of the image. For each pixel of interest Pi,j in the image, an approximate spatial dependent average Ai,j, Bi,j of video values in a region of W pixels by H scan lines surrounding the pixel of interest Pi,j is computed by convolving video values Vi,j of the image in the region with a uniform filter. For each pixel of interest Pi,j a result of the convolving step is used as the reflectance parameter Rm. The apparatus includes a video buffer for storing the pixels of the original scanned image, and first and second stage average buffers for storing the computed approximate spatial dependent averages Ai,j, Bi,j. First and second stage processing circuits respectively generate the first and second stage average values Ai,j, Bi,j by convolving the video values of the image in a preselected region with a uniform filter.

    摘要翻译： 提供一种方法和装置，用于确定用于图像的集成腔效应校正的图像中的像素的加权平均测量反射率参数Rm。 对于图像中的每个感兴趣像素P i，j，通过卷积视频来计算在围绕像素p，j的W像素的H像素的区域中的视频值的近似空间依赖平均值Ai，j，Bi，j 在具有均匀滤波器的区域中的图像的值Vi，j。 对于感兴趣的每个像素Pi，j，使用卷积步骤的结果作为反射参数Rm。 该装置包括用于存储原始扫描图像的像素的视频缓冲器，以及用于存储所计算的近似空间相关平均值Ai，j，Bi，j的第一和第二平均缓冲器。 第一和第二级处理电路通过使用均匀的滤波器卷积预选区域中的图像的视频值，分别产生第一和第二平均值Ai，j，Bi，j。

    Method and system for classifying and processing of pixels of image data
    5.
    发明授权
    Method and system for classifying and processing of pixels of image data 失效
    用于图像数据像素分类和处理的方法和系统

    公开(公告)号：US06181829B2

    公开(公告)日：2001-01-30

    申请号：US09010331

    申请日：1998-01-21

    申请人： Raymond J. Clark ,  Leon C. Williams ,  Stuart A. Schweid ,  Jeng-Nan Shiau

    发明人： Raymond J. Clark ,  Leon C. Williams ,  Stuart A. Schweid ,  Jeng-Nan Shiau

    IPC分类号： G06K940

    CPC分类号： H04N1/40062

    摘要： A system and method classify a pixel of image data as one of a plurality of image types. A first image characteristic value for the pixel, a second image characteristic value for the pixel ,a third image characteristic value for the pixel, and a fourth image characteristic for the pixel is determined. Some of these determinations may be resolution dependent. The values from these determination are utilized in assigning an image type classification to the pixel. Moreover, if at least one of the image characteristic values is greater than a predetermined threshold value the pixel is classified as a halftone peak value. The system includes a plurality of microclassifiers for determining a distinct image characteristic value of the pixel; a plurality of macroreduction circuits connected to the plurality of microclassifiers for performing further higher level operations upon the distinct image characteristic values of the pixel to produce reduced values; and a classification circuit to classify the pixel as an image type based on the reduced values from the macroreduction circuits. The system also includes a circuit to detect flat peaks without detecting multiple peaks and a rectangular blur filtering system.

    摘要翻译： 系统和方法将图像数据的像素分类为多个图像类型之一。 确定像素的第一图像特征值，像素的第二图像特征值，像素的第三图像特征值和用于像素的第四图像特性。 这些确定中的一些可能取决于分辨率。 来自这些确定的值被用于为像素分配图像类型分类。 此外，如果图像特征值中的至少一个大于预定阈值，则将像素分类为半色调峰值。 该系统包括用于确定像素的不同图像特征值的多个微分类器; 连接到所述多个微分类器的多个宏观还原电路，用于根据所述像素的不同图像特征值进行更高级的操作以产生减小的值; 以及分类电路，用于基于来自大致减小电路的减小值将像素分类为图像类型。 该系统还包括用于检测平坦峰而不检测多个峰的电路和矩形模糊滤波系统。

    Method and apparatus for pixel-level override of halftone detection within classification blocks to reduce rectangular artifacts
    6.
    发明授权
    Method and apparatus for pixel-level override of halftone detection within classification blocks to reduce rectangular artifacts 有权
    用于分类块内半色调检测的像素级覆盖的方法和装置，以减少矩形伪像

    公开(公告)号：US6137907A

    公开(公告)日：2000-10-24

    申请号：US159041

    申请日：1998-09-23

    申请人： Raymond J. Clark ,  Jeng-Nan Shiau

    发明人： Raymond J. Clark ,  Jeng-Nan Shiau

    IPC分类号： H04N1/40 ,  G06K9/34

    CPC分类号： H04N1/40062

    摘要： A method and apparatus to process an electronic image of a document that is previously divided into a plurality of classified tiled rectangular blocks. Each pixel within halftone blocks is analyzed to calculate a busyness measure value, preferably a sum of Laplacians although other range-type functions could be used. When the busyness value is less than a first predetermined threshold value, the video intensity level of the pixel is compared against a second predetermined threshold value and when greater than the second predetermined threshold value, the pixel is re-classified as being a Text document type to produce a crisp, clean background in the rendered image. When the video intensity level of the pixel is less than the second predetermined threshold value, the pixel is re-classified as being a Contone image type to minimize abrupt changes in pixel classification block boundaries, which would result in objectionable artifacts in the rendered image resulting from density or texture changes at the block boundaries. Selectively re-classifying individual pixels within blocks of tiled pixels that were previously classified as halftone pixels greatly reduces rectangular artifacts in the classification map. Such rectangular artifacts in the classification map are often translated by classification driven image processing into undesirable rectangular artifacts when the image is viewed or analyzed further. Certain classification transitions are thereby moved to coincide with contours and transitions in the image video, thereby hiding the classification transitions.

    摘要翻译： 一种用于处理先前分成多个分类的平铺矩形块的文档的电子图像的方法和装置。 分析半色调块内的每个像素，以计算繁忙度测量值，最好是拉普拉斯算子的总和，尽管可以使用其他范围类型的函数。 当忙度值小于第一预定阈值时，将像素的视频强度水平与第二预定阈值进行比较，并且当大于第二预定阈值时，像素被重新分类为文本文档类型 在渲染的图像中产生清晰，干净的背景。 当像素的视频强度级别小于第二预定阈值时，将像素重新分类为Contone图像类型以最小化像素分类块边界中的突然变化，这将导致渲染图像中产生令人反感的伪影 从块边界的密度或纹理变化。 以前分类为半色调像素的平铺像素块内的各个像素的选择性重新分类大大减少了分类图中的矩形伪影。 当分析图中的这种矩形伪像通常被分类驱动的图像处理转换成不期望的矩形伪影，当图像被进一步观看或分析时。 因此，某些分类过渡被移动以与图像视频中的轮廓和转换一致，从而隐藏分类转换。

    Detection and rendering of text in tinted areas
    7.
    发明授权
    Detection and rendering of text in tinted areas 失效
    检测和渲染着色区域中的文本

    公开(公告)号：US5852678A

    公开(公告)日：1998-12-22

    申请号：US655523

    申请日：1996-05-30

    申请人： Jeng-nan Shiau ,  Zhigang Fan ,  Raymond J. Clark

    发明人： Jeng-nan Shiau ,  Zhigang Fan ,  Raymond J. Clark

    IPC分类号： H04N1/40 ,  G06K9/34

    CPC分类号： H04N1/40062

    摘要： A method and apparatus improves digital reproduction of a compound document image containing half-tone tint regions and text and/or graphics embedded within the half-tone tint regions. The method entails determining a local average pixel value for each pixel in the image, then discriminating and classifying based on the local average pixel values, text/graphics pixels from half-tone tint pixels. Discrimination can be effected by calculating a range of local averages within a neighborhood surrounding each pixel; by calculating edge gradients based on the local average pixel values; or by approximating second derivatives of the local average pixel values based on the local averages. Text/graphics pixels are rendered using a rendering method appropriate for that type of pixel; half-tone tint pixels are rendered using a rendering method appropriate for that type of pixel.

    摘要翻译： 一种方法和装置改进了包含半色调色调区域和嵌入在半色调色调区域内的文本和/或图形的复合文档图像的数字再现。 该方法需要确定图像中每个像素的局部平均像素值，然后基于局部平均像素值，来自半色调色调像素的文本/图形像素进行鉴别和分类。 可以通过计算围绕每个像素的邻域中的局部平均值的范围来实现区分; 通过基于局部平均像素值计算边缘梯度; 或者通过基于局部平均值逼近局部平均像素值的二阶导数。 使用适合于该类型的像素的渲染方法来渲染文本/图形像素; 使用适合于该类型的像素的渲染方法来渲染半色调色调像素。