Shape and area correlation in time-varying imagery

Author

Mongi A. Abidi

Date of Award

3-1985

Degree Type

Thesis

Degree Name

Master of Science

Major

Electrical Engineering

Major Professor

R. C. Gonzalez

Committee Members

Ken Shreeve, Bob Elvander

Abstract

In this work we present a global scheme for motion detection and characterization in radar images. It involves 2 steps; (1) each image is rapidly scanned using shape extraction and recognition to extract important clues regarding areas of major changes; (2) using the latter clues, a local analysis based on correlation then is applied to selected areas of the image. This technique was applied to a sequence of real radar cloud images where circulation was suspected; the results showed clear automatic detection of this circulation. The algorithms used in this study and their formulation are fast enough to envision real time tracking of clouds.

Recommended Citation

Abidi, Mongi A., "Shape and area correlation in time-varying imagery. " Master's Thesis, University of Tennessee, 1985.
https://trace.tennessee.edu/utk_gradthes/13919