基于Harris特征点和对比度调制的图像拼接算法  

Image Stitch Algorithm Based on Harris corner and Contrast

作　　者：陈艳海[1] 

机构地区：[1]湖北汽车工业学院电气工程与信息学院,湖北十堰442002

出　　处：《中国科技信息》2011年第12期76-76,78,共2页China Science and Technology Information

摘　　要：提出了一种基于角点特征Harris和对比度调制的图像拼接算法,以提高室外复杂场景的图像拼接质量。利用Harris算法提取基准图像(带匹配图像)和后续图像的特征点。确定特征的位置、尺度与方向,利用最近临法完成两幅特征点的匹配,确定重合区域,利用基于对比度调制方法完成对图像的拼接。实验结果表明,该方法对亮度差异较大的图像拼接具有良好的效果,适于室外复杂环境的图像拼接。An algorithm of image stitch based on Harris corner and Contrast is proposed to improve the stitch effect of significantly different luminance images.Features are first detected between two images using Harris algorithm.After identified locations and scales,Feature is matched based on the nearest neighbor method in order to identify overlap regions.Images are blended by contrast.Experimental results showed that the presented method is effective for significant different luminance images adopted from outdoor environments.

关 键 词：HARRIS 图像融合 图像拼接 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]