27 August 2001 Interalgorithmic evaluation of SAR image segmentation algorithms using multiple measures
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Abstract
To ensure that the best possible image segmentation algorithm transitions into a real world recognition system, the segmentation algorithm must be properly evaluated. A novel approach is introduced for evaluating image segmentation algorithms. Part of the approach is to use a system of multiple measures. Using intra-algorithmic comparisons, three measures are tested on a small suite of segmented image test cases. The results from using three measures on the test suite demonstrate significant differences in the ability of the measures to distinguish segmentation quality. Another part of the novel approach is the use of an inter-algorithmic comparison which is shown to assist the evaluation of segmentation algorithms where exact edge truth is unknown such as is the case with Synthetic Aperture Radar (SAR) imagery. Results are demonstrated by using segmentation on a SAR target chip provided by the Moving and Stationary Target Acquisition and Recognition (MSTAR) program.
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Gregory J. Power, "Interalgorithmic evaluation of SAR image segmentation algorithms using multiple measures", Proc. SPIE 4382, Algorithms for Synthetic Aperture Radar Imagery VIII, (27 August 2001); doi: 10.1117/12.438226; https://doi.org/10.1117/12.438226
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