A Comparison of Target Detection and Segmentation Techniques

John A. Hird; David F. Wilson

doi:10.1117/12.969682

1 April 1990 A Comparison of Target Detection and Segmentation Techniques

John A. Hird, David F. Wilson

Proceedings Volume 1191, Optical Systems for Space and Defence; (1990) https://doi.org/10.1117/12.969682
Event: SIRA/Optical Systems for Space and Defence, 1989, London, United Kingdom

Abstract

A wide variety of techniques has been examined in the literature for the detection and segmentation of target objects in images. This paper is concerned with the comparison of a set of alternatives drawn from two generic approaches to the problem. Histogram-based techniques focus on the distribution of some descriptive attribute or set of attributes within the image. The use of several such algorithms is considered including a sampled peak-finding method, a sampled percentile-finding method, multivariate histogramming based on greylevel and edge information and the well-known superspike algorithm. Hierarchical target detection techniques, on the other hand, attempt to exploit links between multiple reduced resolution views of the image. A range of such methods is also described based on the use of both iterative and top-down traversal procedures. Each of the algorithms is discussed, and their performance on a database of synthetic and real infra-red images is compared in terms of segmentation quality and computational cost.

Citation Download Citation

John A. Hird and David F. Wilson "A Comparison of Target Detection and Segmentation Techniques", Proc. SPIE 1191, Optical Systems for Space and Defence, (1 April 1990); https://doi.org/10.1117/12.969682

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