基于特征点的病理切片图像拼接算法

An Image Mosaic Algorithm of Pathological Section Based on Feature Points

通过对常用图像拼接方法的研究,针对病理切片图像的特点,提出了一种基于特征点的图像拼接算法。该算法首先采用Moravec算子提取出兴趣点,根据互相关系数进行特征匹配,得到两幅图像的对应特征对。然后根据匹配特征对计算出图像的仿射变换参数,使用加权平均的方法融合图像。实验结果表明,对于存在平移和旋转的病理切片图像,该算法能准确地提取出匹配特征对,实现图像的无缝拼接。

In this paper,an image mosaic algorithm based on feature points was proposed by making a study of the image mosaic methods and the characteristics of pathological image.Points of interest were firstly extracted by Moravec operator in this method,and the corresponding feature matches of the original images were achieved by correlation coefficient.The parameters of affine transformation were calculated by the matching feature points,and weighted average method was used to fuse images.The experimental results show that,as for the pathological image with translation and rotation,the algorithm can extract the matching feature points accurately and realize the image seamless mosaic.