Paper
24 August 2006 Detection and localization of degraded objects
Author Affiliations +
Abstract
In pattern recognition two different tasks are distinguished; that is, detection of objects and estimation of their exact positions (localization) in images. Traditional methods for pattern recognition are based on correlation or template matching. These methods are attractive because they can be easily implemented with digital or optical processors. However, they are very sensitive to intensity degradations that always are present in observed images. In this paper we analyze and compare correlation-based methods for reliable detection and localization of degraded objects.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
E. M. Ramos-Michel and Vitaly Kober "Detection and localization of degraded objects", Proc. SPIE 6312, Applications of Digital Image Processing XXIX, 63121H (24 August 2006); https://doi.org/10.1117/12.678585
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KEYWORDS
Target recognition

Phase only filters

Point spread functions

Image filtering

Pattern recognition

Signal to noise ratio

Electronic filtering

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