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System and method for identifying foreground and background portions of digitized images

机译:用于识别数字化图像的前景和背景部分的系统和方法

摘要

Disclosed in a system and method for segmenting foreground pixel from background pixels in a digital image, specifically a fingerprint image. First the image is divided into blocks of optimal size. Then, for a given block, an overall gradient magnitude and a projected gradient magnitude is determined. The overall gradient magnitude is a measure of the amount of intensity variation in the current block. If a large number (or all) of the pixels have a direction that is the same as the overall gradient direction, the projected gradient magnitude will be nearly equal (will be equal) to the overall gradient magnitude. This indicates that the current block is a block in the foreground of the image. A relationship, e.g., a ratio, of the over gradient magnitude to the overall projected gradient magnitude is taken certainty level that the current block is in the foreground or background of the image. Connected blocks making up the largest region of foreground blocks are considered the foreground region, the rest of the blocks/regions are discarded (considered as background).
机译:公开了一种用于从数字图像,特别是指纹图像中的背景像素中分割前景像素的系统和方法。首先,将图像分为最佳大小的块。然后,对于给定的块,确定总梯度量和投影梯度量。整体梯度大小是当前块中强度变化量的度量。如果大量(或全部)像素的方向与总体梯度方向相同,则投影梯度量将几乎等于(等于)总体梯度量。这表明当前块是图像前景中的块。确定当前梯度在图像的前景或背景中的过梯度量度与总投影梯度量度之间的关系,例如比率。构成前景块最大区域的已连接块被视为前景区域,其余的块/区域将被丢弃(视为背景)。

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