摘要:提出了一种基于兴趣点不变矩(IPIM)的图像拼接技术。利用Harris 角检测器获取图像中的兴趣点,计算

兴趣点邻域的平移、旋转及尺度不变矩,通过比较各兴趣点邻域不变矩的欧式距离提取出初始特征点对,根据

几何变换模型剔除伪特征对,最后利用正确映射模型实现图像的拼接。实验表明,该方法对平移以及任意角度

的旋转具有良好的鲁棒性,对于具有小尺度变换的图像仍然具有很好的拼接效果。-Abstract: This paper presents a point of interest based on moment invariants (IPIM) of the image stitching technology. Angle using Harris detector to obtain images in the interest of points to calculate the interest point neighborhood of the translation, rotation and scale invariant moments, by comparing the interest point neighborhood of the Continental moment invariants extracted from the initial feature points right, according to the geometric pseudo-transformation model features removed, and finally realize the use of mapping model correctly spliced images. Experiments show that the method of translation and rotation of any angle has good robustness for small-scale transformation of the image still has a good effect splicing.