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公开(公告)号:US07119924B2
公开(公告)日:2006-10-10
申请号:US09966030
申请日:2001-09-28
申请人: Salil Prabhakar , Raja Bala , Hui Cheng , John C. Handley , Ying-wei Lin
发明人: Salil Prabhakar , Raja Bala , Hui Cheng , John C. Handley , Ying-wei Lin
IPC分类号: G06F15/00
CPC分类号: G06T7/90 , G06T7/11 , G06T2207/30176
摘要: 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.
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公开(公告)号:US06983068B2
公开(公告)日:2006-01-03
申请号:US09965922
申请日:2001-09-28
申请人: Salil Prabhakar , Hui Cheng , Zhigang Fan , John C. Handley , Ying-wei Lin
发明人: Salil Prabhakar , Hui Cheng , Zhigang Fan , John C. Handley , Ying-wei Lin
IPC分类号: G06K9/00
CPC分类号: G06K9/00456
摘要: 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.
摘要翻译: 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。
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公开(公告)号:US10018804B2
公开(公告)日:2018-07-10
申请号:US14899672
申请日:2014-06-18
CPC分类号: G02B13/0015 , A61B3/1216 , A61B5/117 , A61B5/1171 , G02B5/208 , G06K9/00604 , G06K9/00617 , H04N5/2254 , H04N5/23212 , H04N5/23245
摘要: The invention comprises an imaging apparatus housed within a mobile device housing, and configured to enable multiple image acquisition modes. The apparatus includes an image sensor, a first optical assembly, a second optical assembly and a controller. The first optical assembly of the invention is positioned over a first image capture region of the imaging surface, and defines a first field of view—such that the first optical assembly images onto the first image capture region, any object plane within the first field of view. The second optical assembly is positioned over a second image capture region of the imaging surface, and defines a second field of view—such that the second optical assembly images onto the second image capture region, any object plane within the second field of view. The invention additionally includes a corresponding method for enabling multiple image acquisition modes in an imaging apparatus.
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