A New Method of Microscopic Images´ Automatic Mosaicing

Author

Ma Yongwei ; Gou Xinke ; Du Xianjun ; Xiao Jiayin

Author_Institution

Coll. of Electr. & Inf. Eng., Lanzhou Univ. of Technol., Lanzhou, China

fYear

2009

fDate

11-13 June 2009

Firstpage

1

Lastpage

5

Abstract

Image mosaicing has been collecting considerable attention in the field of computer vision and photogrammetry. Feature based on image mosaics requires the integration of feature detection, feature matching, motion parameters estimation, and image stitching. In this paper, we present an automated mosaicing technique for generating mosaics from microscope images. And we introduce the SIFT feature detection into image mosaicing. Solve the problem that the microscope such as view smallness and being unable to observe the full pathological image. And this method is insensitive to the orientation, scale and illumination of the images.

Keywords

biomedical optical imaging; feature extraction; image segmentation; medical image processing; motion estimation; optical microscopy; parameter estimation; SIFT; automated mosaicing technique; feature detection; feature matching; image mosaicing; image stitching; microscopic images; motion parameter estimation; pathological image; Computer vision; Educational institutions; Euclidean distance; Geometry; Image databases; Image matching; Iterative methods; Microscopy; Nearest neighbor searches; Pathology;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2901-1

Electronic_ISBN

978-1-4244-2902-8

Type

conf

DOI

10.1109/ICBBE.2009.5162199

Filename

5162199