Masters Theses

Date of Award

8-1990

Degree Type

Thesis

Degree Name

Master of Science

Major

Electrical Engineering

Major Professor

Bruce W. Bomar

Committee Members

Roy Joseph, Wilhelm McGregor

Abstract

An image recording and processing system has been developed for use with an autoranging camera controller and an intensified silicon array camera. The system consists of an intensified silicon target camera, autoranging camera controller, time code translator, tape interface, computer, and software. The image processing system acquires the system gain and time along with standard video, making possible quantitative radiometric data reduction and temporal correlation of data taken simultaneously from multiple systems. This system can be used in any application where it is necessary to quantify data taken over a wide dynamic range. Using an existing autoranging camera controller and a time code translator to provide the system gain and frame times as digital data, a tape interface has been designed and implemented to modulate this data as an audio signal. The modulated signal is recorded on the audio channels of a video cassette recorder while the video is being recorded on the video channel. This digital data tape interface also provides the capability of demodulating the audio signal to recover the original digital data, which is then downloaded to a computer. The data recorded by the tape interface is not restricted to the system gain and time at each individual frame, but there is a limit of twenty bits of data that can be recorded per frame of video. Software was written to acquire the system gain and time reference data on the computer, and to integrate this data with the video obtained using a frame grabber. As a result of this work, each frame can now be reduced to absolute radiometric units and displayed as either iso-radiance contours or gray scale plots. Digitization of video and acquisition of the gain and time data is all under computer control, allowing automation of the data reduction process and thus diminishing data reduction time while at the same time adding capabilities that were not possible with previous processing techniques.

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