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Proceedings Paper

Comparative Study Of Edge-Thinning Algorithms For Target Identification
Author(s): H. Kesh R. Keshavan; Chun Moo Lo
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Paper Abstract

The aim of the edge thinning process is to remove the inherent edge broadness in gradient images while retaining edge continuity of the image. Such a process is required so that a useful silhouette of the target can be generated for target classification purposes. This paper compares the results from three candidate edge thinning algorithms: nonmaximum sup-pression technique by D. Miligram and A. Rosenfeld, modified USC thinning algorithm, and Reeves' algorithm. The results are compared subjectively and in terms of the number of computations required for their implementation.*

Paper Details

Date Published: 8 March 1982
PDF: 10 pages
Proc. SPIE 0302, Infrared Technology for Target Detection and Classification, (8 March 1982); doi: 10.1117/12.932627
Show Author Affiliations
H. Kesh R. Keshavan, Northrop Corporation (United States)
Chun Moo Lo, Northrop Corporation (United States)


Published in SPIE Proceedings Vol. 0302:
Infrared Technology for Target Detection and Classification
Pat M. Narendra, Editor(s)

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