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METHOD FOR DETERMINING EXISTENCE OF IMAGE ON DOCUMENT IN IMAGE SCANNING DEVICE

机译:确定图像扫描设备中文档中图像存在的方法

摘要

The invention originals using the shading data when applying a weight to the shading correction is implemented by the image scanning device relates to both surfaces (the original surface and / or if the original) image determines how the presence or absence of the document on both sides of the image scanning device, and to improve the ease of use of the image scanning apparatus by determining the presence or absence of the image. ; The present invention to achieve this, in the image scanning device using a shading correction method for determining whether the image is present on both sides of the document, (a) the shading correction data for the shading correction step by applying a weight to the shading correction, and stores the image data of the manuscript; (B) step of storing the gamma correction and shading correction is the image data; (C) determining that determines whether or not the gamma-corrected image data, the white image, and the gamma-corrected image data is not the image in the original surface if the white image; (D) removing the shading-corrected image data from the gamma-corrected image data, and the gamma-corrected image data is removed by the image data is determined whether or not the white image, if the determination is determined as a result of white image if the original determining that there is no image on; characterized in that it comprises a.
机译:当通过图像扫描装置对阴影校正施加权重时,使用阴影数据的本发明原稿通过图像扫描装置实现,该原稿图像涉及两个表面(原始表面和/或原始图像)是否确定了文档在双面上的存在或不存在。通过确定图像的存在与否来提高图像扫描设备的易用性。 ;为了实现这一点,本发明在使用用于确定文档的两面是否存在图像的阴影校正方法的图像扫描装置中,(a)通过对阴影施加权重来进行阴影校正步骤的阴影校正数据。校正,并存储手稿的图像数据; (B)存储伽玛校正和阴影校正的步骤是图像数据; (C)确定如果白色图像是白色图像,则确定伽玛校正图像数据,白色图像和伽玛校正图像数据是否不是原始表面中的图像; (D)从伽马校正后的图像数据中去除阴影校正后的图像数据,并通过该图像数据来去除伽马校正后的图像数据,如果确定结果是白色的,则确定是否为白色图像。图像,如果原始图像确定没有图像;其特征在于包括一个。

著录项

  • 公开/公告号KR20060010219A

    专利类型

  • 公开/公告日2006-02-02

    原文格式PDF

  • 申请/专利权人 SAMSUNG ELECTRONICS CO. LTD.;

    申请/专利号KR20040058845

  • 发明设计人 HAN JIN SOO;

    申请日2004-07-27

  • 分类号G06K9/20;

  • 国家 KR

  • 入库时间 2022-08-21 21:26:40

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