Picture/graphics classification system and method
    1.
    发明授权
    Picture/graphics classification system and method 失效
    图片/图形分类系统和方法

    公开(公告)号:US06983068B2

    公开(公告)日:2006-01-03

    申请号:US09965922

    申请日:2001-09-28

    CPC classification number: G06K9/00456

    Abstract: A method and system for image processing, in conjunction with classification of images between natural pictures and synthetic graphics, using SGLD texture (e.g., variance, bias, skewness, and fitness), color discreteness (e.g., R—L, R—U, and R—V normalized histograms), or edge features (e.g., pixels per detected edge, horizontal edges, and vertical edges) is provided. In another embodiment, a picture/graphics classifier using combinations of SGLD texture, color discreteness, and edge features is provided. In still another embodiment, a “soft” image classifier using combinations of two (2) or more SGLD texture, color discreteness, and edge features is provided. The “soft” classifier uses image features to classify areas of an input image in picture, graphics, or fuzzy classes.

    Abstract translation: 一种用于图像处理的方法和系统,结合使用SGLD纹理(例如,方差,偏差,偏度和适应度)的自然图像和合成图像之间的图像分类,颜色离散性(例如,R SUB 提供了一个或多个边缘特征(例如每个检测到的边缘,水平边缘和垂直边缘的像素)。 在另一个实施例中,提供了使用SGLD纹理,颜色离散性和边缘特征的组合的图片/图形分类器。 在另一个实施例中,提供了使用两(2)或更多SGLD纹理,颜色离散性和边缘特征的组合的“软”图像分类器。 “软”分类器使用图像特征来对图像,图形或模糊类中的输入图像的区域进行分类。

    Neutral pixel detection using color space feature vectors wherein one color space coordinate represents lightness

    公开(公告)号:US07116443B2

    公开(公告)日:2006-10-03

    申请号:US10137677

    申请日:2002-05-02

    CPC classification number: H04N1/56 G01J3/462

    Abstract: A method for neutral pixel detection using color space feature vectors wherein one color space coordinate represents lightness is provided. The method includes the following steps: a) receiving an input image represented in a first color space; b) converting the input image to a second color space wherein one coordinate represents lightness; c) selecting a pixel in the second color space representation to be classified; d) computing second color space feature vectors associated with the selected pixel; and e) classifying the selected pixel between neutral and color classes based on the values computed for the second color space feature vectors. Typically, the input image is processed using a smoothing filter to create a smoothed input image prior to the conversion to the second color space. The method can be adapted to page processing or strip processing schemes with respect to the input image.

    Grayscale image de-speckle algorithm

    公开(公告)号:US07031543B2

    公开(公告)日:2006-04-18

    申请号:US10032464

    申请日:2002-01-02

    CPC classification number: G06T5/30 G06T5/005 G06T2207/10008

    Abstract: An annular window-shaped structuring element is provided for image processing to remove speckles from a scanned image. The window-shaped structuring element is composed of two differently sized squares sharing the same geometric center-point. The pixel to be analyzed with the structuring element is at the center-point. The structuring element is used in a method to remove speckles from binary, grayscale, and/or color images by first eroding the image, detecting speckles relative to other pixels in the image, and removing declared speckles. The method may additionally include a halftoning module to protect halftone images.

    Color to black and white converter
    8.
    发明授权
    Color to black and white converter 失效
    颜色到黑白转换器

    公开(公告)号:US07009739B1

    公开(公告)日:2006-03-07

    申请号:US09699820

    申请日:2000-10-30

    CPC classification number: H04N1/40012

    Abstract: A continuously variable screening tool is used to generate a unique texture pattern for every color in a multicolor image. The continuously variable screening tool allows a single colorant version of the image to be generated with less information loss than typically suffered in the multicolor to single color transformation process. The continuously variable screening tool is generated by blending patterns from a set of reference screens. The reference screens are associated with selected reference colors in, for example, a machine independent color space. A calculated screen is generated through a weighted blend of reference screens located near the arbitrary color in the machine independent color space. Typically, the weights depend on the distance the arbitrary color is from each of the reference colors. The screens consist of arrays of threshold values. Each threshold value is associated with a dot position and an image pixel. Where a pixel value exceeds the associated threshold value, provision is made to place a mark in the associated dot position. An image processor operative to carry out the method comprises a continuously variable screening tool generator. An embodiment of the image processor includes a reference screen storage device and a screen blender.

    Abstract translation: 使用连续可变的筛选工具为多色图像中的每种颜色生成独特的纹理图案。 连续可变的筛选工具允许以多色到单色转换过程中通常遭受的信息损失较少的信息生成图像的单一着色剂版本。 通过混合来自一组参考屏幕的图案来生成连续可变的筛选工具。 参考屏幕与例如机器独立颜色空间中的所选参考颜色相关联。 通过在机器独立颜色空间中位于任意颜色附近的参考屏幕的加权混合来生成计算屏幕。 通常,权重取决于任意颜色与每个参考颜色的距离。 屏幕由阈值阵列组成。 每个阈值与点位置和图像像素相关联。 如果像素值超过关联的阈值,则提供在相关联的点位置放置标记。 可操作地执行该方法的图像处理器包括连续可变的筛选工具发生器。 图像处理器的实施例包括参考屏幕存储设备和屏幕搅拌器。

    Logic-based image processing method
    10.
    发明授权
    Logic-based image processing method 有权
    基于逻辑的图像处理方法

    公开(公告)号:US06297889B1

    公开(公告)日:2001-10-02

    申请号:US09218688

    申请日:1998-12-22

    CPC classification number: G06T5/20 H04N1/58

    Abstract: A method for processing digital images to be displayed, stored, or printed, to eliminate blooming and other artifacts. The system utilizes morphological processes to isolate and modify image structures susceptible to marking process artifacts and then combines the modified image structures with the input image to produce a printable image that may be rendered on a given printer.

    Abstract translation: 一种用于处理要显示,存储或打印的数字图像的方法,以消除起霜和其他伪像。 该系统利用形态学过程来分离和修改易受标记过程伪像影响的图像结构,然后将修改的图像结构与输入图像组合,以产生可在给定打印机上呈现的可打印图像。

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