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Proceedings Paper

Segmenter Wobble In Infrared Images
Author(s): F. Elliott; W. W. Boyd; Marion Lineberry
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Paper Abstract

Image processing algorithms that employ shape statistics (i.e., moment invariants, perimeter2/area ratio, etc.) to characterize object classes can be affected by "segmenter wobble," a phenomenon contributing to the uncertainty in object classification. This paper defines the concept of segmenter wobble and gives examples of this effect in the segmentation of infrared (IR) images. Shape statistics are computed for segmentations by a candidate segmentation algorithm, and their sensitivity to segmenter wobble is shown.

Paper Details

Date Published: 17 March 1983
PDF: 9 pages
Proc. SPIE 0359, Applications of Digital Image Processing IV, (17 March 1983); doi: 10.1117/12.965987
Show Author Affiliations
F. Elliott, Texas Instruments Incorporated (United States)
W. W. Boyd, Texas Instruments Incorporated (United States)
Marion Lineberry, Texas Instruments Incorporated (United States)

Published in SPIE Proceedings Vol. 0359:
Applications of Digital Image Processing IV
Andrew G. Tescher, Editor(s)

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