Bootstrap coverage plots for image segmentation

Inge Koch, Gary Marshall

Research output: Chapter in Book/Conference paperConference paperpeer-review

11 Citations (Scopus)


Two methods for assessing the variability of image segmentation are proposed: coverage plots and percentile intervals. Both methods are based on bootstrap techniques and provide graphical information about the performance and accuracy of segmentation methods across the entire image. The methods are applied to median based image segmentation which is characterised by the filter size and a data-driven thresholding choice. Computer simulations of simulated medical X-ray images demonstrate the superiority of coverage plots in assessing the performance of segmentation methods.

Original languageEnglish
Title of host publicationProceedings of 13th International Conference on Pattern Recognition
Subtitle of host publicationTrack B: Pattern Recognition and Signal Analysis
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Print)081867282X, 9780818672828
Publication statusPublished - 1 Jan 1996
Externally publishedYes
Event13th International Conference on Pattern Recognition - Vienna, Austria
Duration: 25 Aug 199629 Aug 1996


Conference13th International Conference on Pattern Recognition
Abbreviated titleICPR 1996


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