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METHOD FOR REMOVING SHADOW PIXEL IN IMAGE BASED ON BACKGROUND OF IMAGE

机译:基于图像背景的图像阴影像素去除方法

摘要

The present invention relates to a method for removing shadow pixels in an adaptive image based on the background of the image. The method includes: a video image sequence step (S1); an RGB color image acquisition step (S2); a color input image acquisition step (S3); a black-and-white image acquisition step (S4); a background image generation step (S5); a dynamic image generation step (S6); a foreground image acquisition step (S7); a candidate shadow area detection step (S8); and a shadow area pixel removing step (S9). The present invention confirms that a drop in the pixel brightness caused by the shadow is dependent on the pixel brightness in the background area, and applies different threshold values for the respective pixels according to the background brightness to determine the shadow pixels to increase the spatial and temporal adaptability compared to a conventional method applying a uniform shadow criteria for the entire pixels. When a certain pattern is present in the background, the present invention can easily apply the local attributes of an image to determine the shadows pixels in the image.;COPYRIGHT KIPO 2015
机译:本发明涉及基于图像的背景去除自适应图像中的阴影像素的方法。该方法包括:视频图像序列步骤(S1); RGB彩色图像获取步骤(S2);彩色输入图像获取步骤(S3);黑白图像获取步骤(S4);背景图像生成步骤(S5);动态图像生成步骤(S6);前景图像获取步骤(S7);候选阴影区域检测步骤(S8);阴影区域像素去除步骤(S9)。本发明确认了由阴影引起的像素亮度的下降取决于背景区域中的像素亮度,并且根据背景亮度对各个像素应用不同的阈值以确定阴影像素以增加空间和亮度。与对整个像素应用统一阴影标准的常规方法相比,该方法具有更好的时间适应性。当背景中存在某种图案时,本发明可以容易地应用图像的局部属性来确定图像中的阴影像素。; COPYRIGHT KIPO 2015

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