Title :
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
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;
Conference_Titel :
Progress in Informatics and Computing (PIC), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-2033-4
DOI :
10.1109/PIC.2014.6972330
