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Functional template-based SAR image segmentation

✍ Scribed by Bir Bhanu; Stephanie Fonder

Publisher: Elsevier Science
Year: 2004
Tongue: English
Weight: 968 KB
Volume: 37
Category: Article
ISSN: 0031-3203
DOI: 10.1016/s0031-3203(03)00223-1

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✦ Synopsis

We present an approach to automatic image segmentation, in which user selected sets of examples and counter-examples supply information about the speciÿc segmentation problem. In our approach, image segmentation is guided by a genetic algorithm which learns the appropriate subset and spatial combination of a collection of discriminating functions, associated with image features. The genetic algorithm encodes discriminating functions into a functional template representation, which can be applied to the input image to produce a candidate segmentation. The performance of each candidate segmentation is evaluated within the genetic algorithm, by a comparison to two physics-based techniques for region growing and edge detection. Through the process of segmentation, evaluation, and recombination, the genetic algorithm optimizes functional template design e ciently. Results are presented on real synthetic aperture radar (SAR) imagery of varying complexity.

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