摘要
本文研究了一种足迹提取图像处理优化方法,通过引入人工设定的门限值对Bernsen算法进行改进,然后对图像进行二值化,再通过中值滤波进行降噪处理。实验结果表明,该方法对轻度粉尘光滑表面采集的足迹图像二值化能够提高目标、背景的色块连续性以及边缘的连续性,取得了较好的效果。
An optimized method of graphic image processing for footprint extraction is studied.The Bernsen algorithm is improved by setting the threshold manually before image binaryzation and signal de-noising by median filter.The experimental results show that the continuity of the background and obtain edge was improved especially to the image of footprint on light dust smooth surface.
出处
《信息技术与信息化》
2018年第8期63-65,68,共4页
Information Technology and Informatization
基金
广西高校中青年教师基础能力提升项目(2017KY1024)
关键词
足迹
提取
算法
优化
footprint
extraction
algorithm
optimization
