The Method of Image Matching by Taking Every Fixed Match Pixel

Xin Xu, Jia Zhang
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引用次数: 6

Abstract

A method of image matching by taking every fixed match pixel was proposed, then the images could be matched accurately in case of noise. the method was based on gray feature-based template matching, it took a long time for basic template matching to traverse to extract match points. According to this problem, the method that took every fixed matching pixel in template image and real-time image, and took every fixed pixel to search in real-time image was used to achieve image matching. the results show that: for noise-free image, under the premise of guaranteeing the matching accuracy, this method can achieve the same effect as the Sequential Similarity Detection Algorithm does in matching speed, for noise image, the speed of image matching is improved by this method, and the problem that Sequential Similarity Detection Algorithm can't guarantee the matching accuracy is solved at the same time.
选取每个固定匹配像素的图像匹配方法
提出了一种取每个固定匹配像素的图像匹配方法,使图像在有噪声的情况下能够准确匹配。该方法基于灰度特征的模板匹配,遍历基本模板匹配需要较长的时间来提取匹配点。针对这一问题,采用在模板图像和实时图像中取每个固定匹配像素,在实时图像中取每个固定像素进行搜索的方法来实现图像匹配。结果表明:对于无噪声图像,在保证匹配精度的前提下,该方法在匹配速度上可以达到与顺序相似度检测算法相同的效果,对于有噪声图像,该方法提高了图像匹配速度,同时解决了顺序相似度检测算法无法保证匹配精度的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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