title: [A microscopic image mosaicing algorithm based on normalized moment of inertia].
abstract: A fast microscopic image mosaicing method is proposed in this paper by making a study of the mosaic methods and the characteristics of microscopic images. In the paper, invariant local features based on normalized moment of inertia (NMI) are used to select the matching points and calculate the spatial translation. The experimental results demonstrate that this algorithm can achieve fast, effective microscopic image mosaicing.
authors.affiliation: Key Lab of Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou.
authors.forename: Fang-jie
authors.initials: FJ
authors.lastname: Lu
authors.forename: Shun-ren
authors.initials: SR
authors.lastname: Xia
mesh_terms: D000465:Algorithms; D007089:Image Enhancement / Q000379:methods*; D010784:Photomicrography / Q000379:methods*