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