Acta Optica Sinica, Volume. 32, Issue 10, 1015001(2012)
Infrared Dim Small Target Detection Based on Morphological Band-Pass Filtering and Scale Space Theory
A novel approach is proposed to detect infrared dim target from cluttered background by using morphological band-pass filtering and scale space theory. The infrared image is pre-processed by means of morphological band-pass filter, which results in regions of interest (RoI) containing dim small targets. Then, difference-of-Gaussian function is adopted to obtain scale space of pre-processed infrared image. Scale space maximum detection is then performed to generate candidate targets with their positions and scales. Infrared dim small target detection is achieved by using thresholding signal-to-clutter ratio of candidate targets. Experimental results on real-world infrared images and comparisons with state-of-the-art methods can demonstrate the effectiveness and robustness of the proposed approach.
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Cheng Gong, Guo Lei, Han Junwei, Qian Xiaoliang. Infrared Dim Small Target Detection Based on Morphological Band-Pass Filtering and Scale Space Theory[J]. Acta Optica Sinica, 2012, 32(10): 1015001
Category: Machine Vision
Received: Mar. 30, 2012
Accepted: --
Published Online: Aug. 17, 2012
The Author Email: Gong Cheng (isuccess@126.com)