基于SIFT特征的彩色图像拼接方法研究

A Color Image Mosaic Algorithm Based on Improved SIFT

摘要:

针对传统特征提取拼接算法在复杂图像中配准过程中出现的过多误匹配,导致拼接后图像出现鬼影、模糊等问题,从而影响拼接图像的质量,提出一种改进的SIFT配准算法。在对目标图像提取SIFT特征后,利用SIFT描述子的尺度以及梯度方向信息建立最小邻域匹配剔除误匹配点,之后利用局部均方根误差(RMSE)评价映射矩阵与RANSAC算法相结合,迭代出精确变换模型。在对图像进行几何矫正后,提出一种自适应的混合线性算法对重合区域图像变换至HIS颜色空间进行图像拼接,最后得到平滑无缝的完整彩色全景拼接图像。实验结果证明,该算法在拼接复杂场景并且重合区域不多时仍有较好的准确性及稳定性。

Abstract:

For too many unstable matching errors extracted by the traditional feature extraction algorithm in process of big complex images registration, reduces the mosaic image quality because of ghost, fuzzy problem after fusion image. Improved algorithm based on SIFT is proposed in this paper, after extracting SIFT feature from the target image, using the Minimum Neighbor Feature Matching eliminate false matches based on scale and gradient direction information from SIFT descriptor. Then iterate the accurate mapping matrix by using Random Sample Consensus algorithm (RANSAC) and the local root mean squared error (RMSE). After image geometricScorrection,Sadaptive mix linear blend algorithm is proposed to fuse theSoverlap region ofSimage in HISScolor space.SFinally achieve theSfullScolorSimage smooth and seamlessSpanorama stitching. The results show theSproposed algorithm isSaccuracy andSstability in theScomplex sceneSandSwith little splicingSoverlap regions.