A Mosaicing Algorithm for Series of Microscope Images Based on Minimum Cost Spanning Tree

摘要：

Available methods for a series of microscope images mosaicing can not meet the requirement of large scale microscope images mosaicing with high quality requirements. A mosaicing algorithm for a series of microscope images based on minimum cost spanning tree of mosaicing graph is proposed and implemented in 3 steps: a) the local registrations based on blocking-spatial clustering, b) the evaluation of the results of images registrations to assign weights of edges of the mosaicing graph, and c) the global images mosaicing approach based on minimum cost spanning tree to calculate optimal global position for every image in order to construct panorama in high quality. The algorithm can be implemented easily and features high accuracy in the experiments.

作者: YuBo Xie Ping Yang ShaoGuang Li YongXi Gong

作者单位: State Key Laboratory of Information Engineer in Surveying Mapping and Remote Sensing, Wuhan Universi Real Estate Surveying and Mapping Office of Guangzhou, Guangzhou 510030, PR China Information Center, Ministry of Land and Resources, Beijing 100812, PR China Institute of Remote Sensing & Geographical Information Systems, Peking University, Beijing 100871, P

会议类型: 国际会议

会议名称: 2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)

会议地点: 镇江

会议语种:英文

页码: 339-343

在线出版日期: 2008-07-07（万方平台首次上网日期，不代表论文的发表时间）