Title :
Dim Target Detection Based on Image Features Analysis in Generalized S-transform Domain
Author :
Zhang, Jie ; Peng, Zhenming ; Zhang, Qiheng ; Qi, Xiaoping
Author_Institution :
Sch. of Opto-Electron. Inf., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
A novel method for dim target detection based on generalized S transform (GST) of image signal is first proposed in this paper. The energy feature of high frequency components in horizontal and vertical direction can be obtained in the GST domain. Then the energy feature images are classified by an adaptive threshold separately. After the logical And-Operation of the classified images, the detection of dim target in low signal-noise-ratio (SNR) images can be realized. The simulation results show that the proposed method can detect dim targets in low SNR images effectively with reduced computation of GST and better detection performance compared with conventional method.
Keywords :
feature extraction; image classification; image segmentation; object detection; adaptive image threshold; dim target detection; generalized S-transform; image classification; image feature analysis; image signal; logical and-operation; signal-noise ratio images; Automation; Computational modeling; Fourier transforms; Image analysis; Information analysis; Infrared detectors; Object detection; Optical imaging; Time frequency analysis; Wavelet transforms; dim target detection; features extraction; generalized S-Transform; time frequency analysis;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.178
