一种基于角点信息和加权子块的图像缩小算法  

A Weighted Averaging Algorithm of Image Zooming-out Based on Image Sub-block and Corner Points

作　　者：徐御[1] 

机构地区：[1]上海交通大学,上海200240

出　　处：《计算机与现代化》2011年第4期34-36,44,共4页Computer and Modernization

摘　　要：针对映射图像子块加权均值算法造成的角点信息丢失,提出一种同时考虑原始图片角点信息和映射子块的算法。首先,求出原始图片的角点信息,再根据缩小比例,求出缩小图像中的对应子块。如果子块内有角点则以该角点为中心计算加权系数;否则就按图像中心计算加权系数。使用本算法对文本图片的缩小能比单纯的子块加权算法保留更多的角点信息。A weighted averaging algorithm of image zooming-out based on image sub-block and corner points is presented.This algorithm overcomes the shortcoming of weighted averaging algorithm and leads to corner points distortion.First,according to the scale-down proportion the sub-block of every pixel at small image is obtained from original image,and then scans the block in corner-points image of the original image.If there is a corner point in the sub-block,it can calculate the weighted map centered by this corner point.Otherwise,it calculates the weighted map centered by image center.This algorithm can keep more corner points than pure sub-block weighted algirithm by the method of weighted averaging for image zooming-out.

关 键 词：图像缩小 加权平均 均值滤波器 角点检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]