湖南工业大学学报Issue(1)：76-80,5.DOI:10.3969/j.issn.1673-9833.2014.01.016
基于SIFT-ACO的图像拼接算法
Image Mosaic Optimization Algorithm Based on SIFT-ACO
摘要
Abstract
For problems of multiple images stitching of certain rotation angle, puts forward an image mosaic optimiza-tion algorithm based on SIFT-ACO. After the mosaic image preprocessing, the algorithm uses SIFT algorithm to extract the image features, adds classic intelligent optimization algorithm to image registration and makes image feature points registration, at last fuses multiple images and obtains a wide viewing angle, seamless and high precision image. The experimental result of image mosaic of different angles indicates that the algorithm can improve the accuracy of image matching effectively without affecting the overall visual effect.关键词
图像拼接/蚁群算法/图像配准Key words
image mosaic/ant colony algorithm/image registration分类
信息技术与安全科学引用本文复制引用
武岫缘,龙永新,高总总..基于SIFT-ACO的图像拼接算法[J].湖南工业大学学报,2014,(1):76-80,5.基金项目
国家自然科学基金资助项目（61170102），湖南省自然科学基金资助项目（11JJ3070），湖南省教育厅基金资助项目 （）
