@inproceedings{6a8ac8333cb3449b89ab37c34dd82fe1,
title = "Medical image mosaic based on low-overlapping regions",
abstract = "This paper focuses on the mosaicing of microscopic medical images. Different from regular application scene where the source images usually have an overlapping ratio between 30\%∼50\%, source images in this paper have a rather low overlapping ratio less than 15\%. Performances of several generic feature-based registration methods are compared in order to explore which one is most appropriate for our application. This paper presents a novel mosaic algorithm as follows. Firstly, Speeded-up Robust Feature (SURF) points in the regions surrounding the overlapped are extracted and then roughly matching results of feature points are acquired. Secondly, mismatched pairs are eliminated according to spatial distance of matching points, and then geometrical relationship between reference image and target image is determined. Finally, registered images are blended into a composite image with modified weighted smooth algorithm. Experimental results demonstrate that the proposed method is effective to create a visually pleasant panoramic image.",
keywords = "Feature matching, Image fusion, Image mosaic, Matching refining, SURF",
author = "Xuerong Chen and Hongying Liu and Mei Zhou and Feng Zhang and Qingli Li",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017 ; Conference date: 14-10-2017 Through 16-10-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/CISP-BMEI.2017.8302067",
language = "英语",
series = "Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--5",
editor = "Qingli Li and Lipo Wang and Mei Zhou and Li Sun and Song Qiu and Hongying Liu",
booktitle = "Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017",
address = "美国",
}