title: [An image mosaic algorithm of pathological section based on feature points].
abstract: 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.
authors.affiliation: College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, China. yezhiqian@hzcnc.com
authors.forename: Zhiqian
authors.initials: Z
authors.lastname: Ye
authors.forename: Hao
authors.initials: H
authors.lastname: Wu
mesh_terms: D000465:Algorithms; D007089:Image Enhancement / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods; D010336:Pathology / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*