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- Title
Infrared Aerial Small Target Detection with NSCT and Two-Dimensional Property Histogram.
- Authors
Liu, Gang; Liu, Sen; Wang, Fei; Ma, Jianwei
- Abstract
A novel algorithm is presented based on non-subsampled contourlet transform (NSCT) and two dimension property histogram in order to realize the aerial small target detection of infrared imaging under complex background. First, this method transforms the infrared image from space domain to NSCT domain. In high frequency bandpass domain, this method describes the sub-band coefficients according to Gaussian scale mixture model based on Bayesian estimation and estimates the center coefficient with the local neighbor’s in order to predict the high frequency background. On the other hand, this method predicts the low frequency background with self-adaption median filter in low frequency lowpass domain. Subsequently, the reversing NSCT is done and the complex background is estimated. By means of subtracting the estimated background image from the source image, the complex background is suppressed and the outstanding small target is acquired. Second, constructing the target’s property set according to the priori knowledge, this method defines the corresponding two-dimensional property histogram which is applied into calculating the segmenting threshold on basis of the maximum entropy method. Subsequently, the infrared image whose complex background is suppressed will be segmented into binary image by the threshold. Finally, infrared small target is detected by the pipeline filter algorithm which makes use of the relativity of the target movement between frames. The experimental results prove the presented method’s effectiveness which can detect the small target whose signal noise ratio (SNR) value is above 2 steadily.
- Subjects
GAUSSIAN processes; HISTOGRAMS; MEDIAN filters (Electronics); BINARY metallic systems; BAYESIAN analysis
- Publication
International Journal of Pattern Recognition & Artificial Intelligence, 2018, Vol 32, Issue 10, pN.PAG
- ISSN
0218-0014
- Publication type
Article
- DOI
10.1142/S0218001418500313