Research on infrared target recognition in complicated ground backdrop

Author

Sun Chuanxin ; Zhu Changjun ; Yang Dongsheng ; Yan Jie

Author_Institution

Coll. of Astronaut., Northwestern Polytech. Univ., Xi´an, China

fYear

2014

fDate

16-18 May 2014

Firstpage

228

Lastpage

231

Abstract

An infrared target recognition method in complicated group backdrop based on SURF is studied in this paper. Firstly, the image is preprocessed by image enhancement method of wavelet decomposition, histogram equalization and adaptive median filtering to increase the gray differences between target and background, and then SURF is used to realize infrared target recognition. The simulation focuses on SURF feature matching threshold and the number of matching feature points. Experimental results show that the proposed method works well on infrared target recognition in complicated ground backdrop.

Keywords

adaptive filters; feature extraction; image enhancement; image matching; infrared imaging; median filters; object recognition; wavelet transforms; SURF feature matching threshold; adaptive median filtering; complicated ground backdrop; gray differences; histogram equalization; image enhancement method; infrared target recognition method; speeded up robust features; wavelet decomposition; Feature extraction; Filtering; Frequency conversion; Histograms; Noise; Target recognition; Wavelet transforms; Image Preprocessing; SURF; ground backdrop; infrared target recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Progress in Informatics and Computing (PIC), 2014 International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4799-2033-4

Type

conf

DOI

10.1109/PIC.2014.6972330

Filename

6972330