Ye Zhiqian, Wu Hao
College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2010 Oct;27(5):984-6.
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.
本文通过对图像拼接方法及病理图像特征的研究，提出了一种基于特征点的图像拼接算法。该方法首先利用Moravec算子提取兴趣点，通过相关系数实现原始图像的特征匹配。利用匹配的特征点计算仿射变换参数，采用加权平均法融合图像。实验结果表明，对于存在平移和旋转的病理图像，该算法能够准确提取匹配特征点，实现图像的无缝拼接。
