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Vol. 156, Issue 9, September 2013, pp. 116-122




Research on Infrared Small Target Detection and Tracking Algorithms Based on Wavelet Transformation
Liping LU

School of Computer Science and Engineering, Xi'an Technological University, Xi'an 710032, China
E-mail: llp21@126.com


Received: 5 June 2013   /Accepted: 25 August 2013   /Published: 30 September 2013

Digital Sensors and Sensor Sysstems


Abstract: In dynamic targets tracking measure system, a new detection algorithm on infrared small target is put forward. The algorithm is base on wavelet transformation, and by using it we can gain clear characteristics of target image and decrease mistake of tracking target. In paper, the principle of infrared small target detection was introduced, and the infrared small target detection system is designed. According to the theory of wavelet transformation, the method of Butter worth wavelet low-pass filtering was applied to filter noise and eliminate high frequency single. Multi-resolution wavelet filter on infrared target was studied to improve image quality, and make the target edge more clear. By setting up the track detection model, the Mean Shift target tracking algorithm is applied to analyze the key technology of the dynamic target tracking algorithm. The method of image segmentation and edge detection on dynamic targets were analyzed. Through experiment and calculation, the detection algorithm meets the measure need.


Keywords: Infrared small target, Tracking and detection, Wavelet transformation, Image processing, Image segmentation.


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