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Proceedings Paper

Differential Based Gradient Contour Segmentation Algorithm
Author(s): John F. Gilmore
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Paper Abstract

A new technique of image segmentation using pixel differences is discussed. Current IR imaging seekers tend to be noisy and lead to noise-generated clutter. Due to its design, the magnitude contrast segmenter reduces the amount of clutter generated during segmentation while consistently generating objects of interest. The basic steps in the algorithm are magnitude difference, contrast evaluation and edge degapping. The edges generated form a closed boundary without using the iterative processing required by other segmenters. The algorithm also segments the high and low intensity areas of an object into one region and identifies the internal structure separating each. Intermediate results are presented in order to document each step in the algorithm. The final result is a clutter reduced, segmented image of well defined regions. A diverse set of images is presented to demonstrate the effectiveness of this algorithm in handling contrastingly different images.

Paper Details

Date Published: 28 December 1982
PDF: 9 pages
Proc. SPIE 0341, Real-Time Signal Processing V, (28 December 1982); doi: 10.1117/12.933702
Show Author Affiliations
John F. Gilmore, Martin Marietta Orlando Aerospace (United States)


Published in SPIE Proceedings Vol. 0341:
Real-Time Signal Processing V
Joel Trimble, Editor(s)

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