Infrared image adaptive enhancement based on fuzzy sets theory

Author

Zhang, Kun-hua ; Zhang, Li ; Yang, Xuan

Author_Institution

Coll. of Inf. Eng., Shenzhen Univ., Shenzhen, China

Volume

2

fYear

2010

fDate

6-7 March 2010

Firstpage

242

Lastpage

245

Abstract

A novel algorithm of infrared image enhancement based on fuzzy sets theory is proposed in this paper. First, Pal and King´s algorithm was analyzed and its drawbacks were summarized. Then, the local fuzzy entropy of image was calculated for determining the threshold. On this basis, the new membership function of fuzzy was defined and infrared image was enhanced effectively by fuzzy enhancement transformation, in which the disadvantages of Pal and King´s traditional fuzzy enhancement method were avoided. The experimental results indicated this fuzzy enhancement algorithm can enhance the contrast of infrared image noticeably and the details of infrared image are reserved better.

Keywords

entropy; fuzzy set theory; image enhancement; infrared imaging; fuzzy enhancement transformation; fuzzy sets theory; infrared image adaptive enhancement; local fuzzy entropy; Authentication; Communication system security; Databases; Fuzzy set theory; Information security; Infrared imaging; Protocols; RFID tags; Radiofrequency identification; Robotics and automation; fuzzy sets theory; image enhancement; infrared image;

fLanguage

English

Publisher

ieee

Conference_Titel

Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on

Conference_Location

Wuhan

ISSN

1948-3414

Print_ISBN

978-1-4244-5192-0

Electronic_ISBN

1948-3414

Type

conf

DOI

10.1109/CAR.2010.5456556

Filename

5456556