Medical Image Mosaic Technology Based on Image Phase Correlation

Author

Xu Jing ; Yang Xiao Hong ; Shao Xiang Xin ; Meng Xian Ying

Author_Institution

Dept. of Neurology Internal Med., First Hosp. of Jilin Univ., Changchun, China

fYear

2012

fDate

23-25 Nov. 2012

Firstpage

274

Lastpage

277

Abstract

Based on the medical image characteristic, this text has made the related improvement for the insufficiency which exists in image mosaic algorithm. It has used the method which unified iteration threshold value division and the canny edge examination operator to extract image edge, calculates the matching parameter between the images using the expansion phase correlation method. The experimental result has indicated that the algorithm proposed in the article can complete the medicine image mosaic precisely and quickly, which has achieved satisfactory mosaic effect.

Keywords

correlation methods; edge detection; image matching; image segmentation; iterative methods; medical image processing; Canny edge examination operator; expansion phase correlation method; image edge extraction; image phase correlation; matching parameter calculation; medical image characteristic; medical image mosaic technology; unified iteration threshold value division; Biomedical imaging; Carotid arteries; Correlation; Educational institutions; Image edge detection; Image segmentation; Iterative methods; extended phase correlation; image mosaic;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Home (ICDH), 2012 Fourth International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-1-4673-1348-3

Type

conf

DOI

10.1109/ICDH.2012.51

Filename

6376423