DocumentCode :
2862571
Title :
A New Image Mosaic Algorithm Based on Fuzzy Sets Recognition Method
Author :
Shao, Xiangxin ; Guo, Shuxu ; Ren, Ruizhi ; Chen, Meimei ; Liu, Yang ; Qian, Xiaohua
Author_Institution :
Coll. of Electron. Sci. & Eng., JiLin Univ., Changchun, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
A new image mosaic algorithm of regional characteristics matching based on fuzzy sets recognition method is presented in this paper. Using shape features such as perimeter, area, flattening and aspect ratio as regional features, introducing fuzzy sets recognition method, it is possible to identify the right matching points. Then image mosaic can be achieved by adopting 8 parameter projection conversion principle and fade-in-fade-out method. It is proved by experiments that this technique with strong robustness is easy to realize.
Keywords :
fuzzy set theory; image matching; image segmentation; fade-in-fade-out method; fuzzy sets recognition method; image mosaic algorithm; regional characteristics matching; right matching points; Character recognition; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Image recognition; Image registration; Iterative algorithms; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5366140
Filename :
5366140
Link To Document :
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