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    • 3. 发明授权
    • Apparatus and method of capturing jump image
    • 捕获跳跃图像的装置和方法
    • US08749687B2
    • 2014-06-10
    • US12939480
    • 2010-11-04
    • Tae-hoon Kang
    • Tae-hoon Kang
    • H04N5/222
    • H04N5/232H04N5/23216H04N5/23293H04N5/2356H04N2101/00
    • A method of capturing an image of a subject jumping performed by an apparatus for processing digital images with a first and a second display is disclosed. The method includes displaying a notification for the subject to jump on the second display unit; and capturing the image of the subject jumping after the displaying of the notification has indicated that the subject should jump. An apparatus for capturing an image of a subject jumping, the apparatus including a first display unit disposed on a rear of the apparatus; a second display unit disposed on a front of the apparatus; and a digital signal processor configured to display a notification for the subject to jump on the second display unit, and configured to capture the image of the subject jumping after the display of the notification to jump has ended.
    • 公开了一种捕获由具有第一和第二显示器处理数字图像的设备执行的被摄体跳跃的图像的方法。 该方法包括显示对象的通知以跳转到第二显示单元上; 并且在显示通知之后捕获被摄体跳跃的图像已经指示对象应该跳跃。 一种用于捕获被摄体跳跃的图像的装置,所述装置包括设置在所述装置的后部的第一显示单元; 设置在所述装置的前方的第二显示单元; 以及数字信号处理器,被配置为显示用于所述对象的通知以在所述第二显示单元上跳跃,并且被配置为在所述跳跃通知的显示结束之后捕获所述被摄体跳跃的图像。
    • 10. 发明申请
    • METHOD OF AND APPARATUS FOR CLASSIFYING IMAGE USING HISTOGRAM ANALYSIS, AND METHOD OF AND APPARATUS FOR RECOGNIZING TEXT IMAGE USING THE HISTOGRAM ANALYSIS
    • 使用组织分析法分类图像的方法和装置,以及使用组织分析识别文本图像的方法和装置
    • US20100220927A1
    • 2010-09-02
    • US12715459
    • 2010-03-02
    • Seung-hun KimTae-hoon Kang
    • Seung-hun KimTae-hoon Kang
    • G06K9/00
    • G06K9/6212G06K9/00456H04N1/40062
    • Methods and apparatuses of classifying an image as either a text image or a non text image are provided. The method includes converting an input image into an image histogram comprising gray levels and a frequency of the gray levels; analyzing the image histogram to determine a characteristic of the image histogram; and classifying the input image as a text image or a non text image based on the characteristic. The characteristic of the image histogram may include the frequency of the gray levels, a number of peaks, a distance between peaks, and a peak width. The image may be split into blocks and a number of edge pixels determined for each block. The blocks with at least a predetermined number of edge pixels may then be classified. The entire image may then be classified based on the number of blocks determined to be a text image.
    • 提供将图像分类为文本图像或非文本图像的方法和装置。 该方法包括将输入图像转换成包括灰度级和灰度级的频率的图像直方图; 分析图像直方图以确定图像直方图的特征; 并基于该特征将输入图像分类为文本图像或非文本图像。 图像直方图的特征可以包括灰度级的频率,峰的数量,峰之间的距离和峰宽。 图像可以被分割成块,并且为每个块确定多个边缘像素。 然后可以对具有至少预定数量的边缘像素的块进行分类。 然后可以基于确定为文本图像的块的数量来对整个图像进行分类。