公开(公告)号：US20030063097A1

公开(公告)日：2003-04-03

申请号：US09966030

申请日：2001-09-28

Applicant: XEROX CORPORATION

Inventor： Salil Prabhakar ,  Raja Bala ,  Hui Cheng ,  John C. Handley ,  Ying-wei Lin

IPC: G09G005/02

CPC classification number: G06T7/90 ,  G06T7/11 ,  G06T2207/30176

Abstract: A process for color graphics image processing, related to detection and segmentation of sweeps, is provided. An input graphics image is transformed into a three-dimensional histogram in an appropriate color space 104 (e.g., CIELUV). Two-dimensional histograms are estimated from the three-dimensional histogram 106. The two-dimensional histograms are processed to detect and segment sweeps 108. Sweep segment information from the processing of the two-dimensional histograms is combined 110. The combined sweep segment information is used to process the input graphics image to identify and segment sweeps 112. Post-processing may be optionally and selectively used to reject false alarms (i.e., areas falsely identified as sweeps) 114.

Abstract translation: 提供了与扫描的检测和分割相关的彩色图形图像处理的过程。 将输入图形图像转换成适当颜色空间104（例如，CIELUV）中的三维直方图。 从三维直方图106估计二维直方图。处理二维直方图以检测和分割扫描108.组合来自二维直方图的处理的扫描段信息。组合的扫描段信息是 用于处理输入图形图像以识别和分段扫描112.可以可选地和选择性地使用后处理来拒绝假警报（即，被错误地识别为扫描的区域）114。

公开(公告)号：US20020031268A1

公开(公告)日：2002-03-14

申请号：US09965922

申请日：2001-09-28

Applicant: XEROX CORPORATION

Inventor： Salil Prabhakar ,  Hui Cheng ,  Zhigang Fan ,  John C. Handley ,  Ying-Wei Lin

IPC: G06K009/62

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 nullsoftnull image classifier using combinations of two (2) or more SGLD texture, color discreteness, and edge features is provided. The nullsoftnull 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_L，R_U和R_V归一化直方图 ）或边缘特征（例如，每个检测到的边缘的像素，水平边缘和垂直边缘）。 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。