DocumentCode
3380219
Title
A mosaic algorithm for high-resolution s-μCT image of porous media based on SIFT & SGWs
Author
Xue Wang ; Jing Liu
Author_Institution
Sch. of Electron. Inf. & Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
fYear
2013
fDate
16-18 July 2013
Firstpage
477
Lastpage
482
Abstract
Aiming at image mosaic for high-resolution and high-amplification image of porous media, it proposed a compound method process based on Scale Invariance Feature Transform (SIFT) and Second Generation Wavelets (SGWs). The process is divided into two steps, one is quick match with SIFT, the other is precise image fused by SGWs. It takes full advantage of image´s texture to make image matching fast, and then the image fused strategy and method based on SGWs are developed. A series of experiments show that according to high-resolution and high-amplification image, such algorithm could achieve well mosaic result, moreover, obviously it could be applied other likely case.
Keywords
computerised tomography; image fusion; image matching; image segmentation; image texture; porous materials; scaling phenomena; wavelet transforms; SGW; SIFT; compound method process; high-amplification image; high-resolution s-μCT image; image fusion; image matching; image mosaic; image texture; mosaic algorithm; porous media; scale invariance feature transform; second generation wavelets; synthetic microcomputed tomogram image; Equations; Feature extraction; Image reconstruction; Image resolution; Mathematical model; Media; Noise; SGWs; SIFT; masaic; porous media;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2013 12th IEEE International Conference on
Conference_Location
New York, NY
Print_ISBN
978-1-4799-0781-6
Type
conf
DOI
10.1109/ICCI-CC.2013.6622286
Filename
6622286
Link To Document