21 March 1989 Feature Extraction in IR Images Via Synchronous Video Detection
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IR video images acquired by scanning imaging radiometers are subject to several problems which make measurement of small temperature differences difficult. Among these problems are 1) aliasing, which occurs When events at frequencies higher than the video frame rate are observed, 2) limited temperature resolution imposed by the 3-bit digitization available in existing commercial systems, and 3) susceptibility to noise and background clutter. Bandwidth narrowing devices (e.g. lock-in amplifiers or boxcar averagers) are routinely used to achieve a high degree of signal to noise improvement for time-varying 1-dimensional signals. We will describe techniques which allow similar S/N improvement for 2-dimensional imagery acquired with an off the shelf scanning imaging radiometer system. These techniques are iplemented in near-real-time, utilizing a microcomputer and specially developed hardware and software . We will also discuss the application of the system to feature extraction in cluttered images, and to acquisition of events which vary faster than the frame rate.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. M. Shepard, S. M. Shepard, D. T. Sass, D. T. Sass, } "Feature Extraction in IR Images Via Synchronous Video Detection", Proc. SPIE 1094, Thermosense XI: Intl Conf on Thermal Infrared Sensing for Diagnostics and Control, (21 March 1989); doi: 10.1117/12.953397; https://doi.org/10.1117/12.953397

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