湖南工业大学学报Issue(1)：71-75,5.DOI:10.3969/j.issn.1673-9833.2014.01.015
基于SIFT特征匹配的图像拼接算法
Image Mosaic Algorithm Based on SIFT Feature Matching
廖飞 1叶玮琼 1王鹏程 1吴金津 1许可可1
作者信息
- 1. 湖南工业大学 计算机与通信学院，湖南 株洲 412007
- 折叠
摘要
Abstract
In order to solve the problem of low efficiency and poor robustness of traditional image mosaic algorithm, an improved SIFT-based feature matching algorithm for image stitching were put forward. Firstly enhanced the images by using the discrete cosine transform,quantization, inverse discrete cosine transform and inverse quantization in the image preprocessing stage, and then proposed the pre-inspection strategy in view of the RANSAC algorithm iteration increasing when computing the transformation models. The experimental results showed that the improved algorithm obtained the quite ideal effect without changing the matching precision.关键词
图像拼接/离散余弦变换/RANSAC算法/SIFT算法Key words
image mosaic/discrete cosine transform/RANSAC algorithm/SIFT algorithm分类
信息技术与安全科学引用本文复制引用
廖飞,叶玮琼,王鹏程,吴金津,许可可..基于SIFT特征匹配的图像拼接算法[J].湖南工业大学学报,2014,(1):71-75,5.
