首页> 外文会议>Proceedings of 2012 international symposium - educational research and educational technology >Optimization of Removed Algorithm in the Grayscale Bitmap Background Impurities Among Traces Identifying
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Optimization of Removed Algorithm in the Grayscale Bitmap Background Impurities Among Traces Identifying

机译:识别痕迹的灰度位图背景杂质中去除算法的优化

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摘要

This paper is about the design of two more optimized grayscale bitmap (BMP) background impuritieseliminating algorithm, and proposes two design ideas of Combination of two algorithms. The essay aims at the gray background bitmap collected from the current identification with traces of impurities, on the basis of the statistic of regional and connected areas. As a result, The overall program operation speed will be greatly improved in the system of traces-identification and face-recognition, image background impurities will be eliminated more effectively and accurately, so that optimal image results will come up.
机译:本文设计了两种优化的灰度位图(BMP)背景除杂算法,并结合两种算法提出了两种设计思路。本文基于区域和连接区域的统计数据,针对从当前识别中收集到的带有痕量杂质的灰色背景位图。结果,在痕迹识别和面部识别系统中,整体程序的运行速度将大大提高,图像背景杂质将被更有效,更准确地消除,从而获得最佳的图像效果。

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