Segmenter Wobble In Infrared Images

F. Elliott; W. W. Boyd; Marion Lineberry

doi:10.1117/12.965987

17 March 1983 Segmenter Wobble In Infrared Images

F. Elliott, W. W. Boyd, Marion Lineberry

Proceedings Volume 0359, Applications of Digital Image Processing IV; (1983) https://doi.org/10.1117/12.965987
Event: 26th Annual Technical Symposium, 1982, San Diego, United States

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.

Citation Download Citation

F. Elliott, W. W. Boyd, and Marion Lineberry "Segmenter Wobble In Infrared Images", Proc. SPIE 0359, Applications of Digital Image Processing IV, (17 March 1983); https://doi.org/10.1117/12.965987

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