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26 August 1996 Target detection of very dim objects using gray-level morphologic tophat
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Proceedings Volume 2785, Vision Systems: New Image Processing Techniques; (1996)
Event: Lasers, Optics, and Vision for Productivity in Manufacturing I, 1996, Besancon, France
Detection of very dim objects is a challenge in many fields like in panoramic infrared surveillance, early detection of pin-point targets in air-to-air or air-to-ground missile imagery, medical imagery or low signal detection. The difficulty of detection of dim targets is especially crucial when the target has an evolving background clutter or when this background has big variations in signal to noise ratio. We introduce a two step new morphological algorithm which first 'learns' the characteristics of the background of the image by extracting a minimal set of structural elements on an image where the target is not yet seen, and which then apply those elements on a second image where the target is present in order to 'extract everything that doesn't reassemble to the background.' Experimental results show that this new morphological algorithm using gray-level opening by a union of structural elements has a good capability of detecting new objects compared to a background even if this object is dim and the background highly cluttered. Furthermore the algorithm is able to deal under certain conditions with evolving background.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raphael J. Horak and Juliette Mattioli "Target detection of very dim objects using gray-level morphologic tophat", Proc. SPIE 2785, Vision Systems: New Image Processing Techniques, (26 August 1996);


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