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 :
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