Bootstrap coverage plots for image segmentation

Inge Koch, Gary Marshall

Research output: Chapter in Book/Conference paperConference paper

11 Citations (Scopus)

Abstract

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
Pages447-451
Number of pages5
Volume2
ISBN (Print)081867282X, 9780818672828
DOIs
Publication statusPublished - 1 Jan 1996
Externally publishedYes
Event13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria
Duration: 25 Aug 199629 Aug 1996

Conference

Conference13th International Conference on Pattern Recognition, ICPR 1996
CountryAustria
CityVienna
Period25/08/9629/08/96

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