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An evaluation of semi-automatic approaches to contour segmentation applied to fungal hyphae

Inglis, Iain M. and Gray, Alison J. (2001) An evaluation of semi-automatic approaches to contour segmentation applied to fungal hyphae. Biometrics, 57 (1). pp. 232-239. ISSN 0006-341X

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Abstract

Semiautomatic image analysis techniques are particularly useful in biological applications, which commonly generate very complex images, and offer considerable flexibility. However, systematic study of such methods is lacking; most research develops fully automatic algorithms. This paper describes a study to evaluate several different semiautomatic or computer-assisted approaches to contour segmentation within the context of segmenting degraded images of fungal hyphae. Four different types of contour segmentation method, with varying degrees and types of user input, are outlined and applied to hyphal images. The methods are evaluated both quantitatively and qualitatively by comparing results obtained by several test subjects segmenting simulated images qualitatively similar to the hyphal images of interest. An active contour model approach, using control points, emerges as the method to be preferred to three more traditional approaches. Feedback from the image provider indicates that any of the methods described have something useful to offer for segmentation of hyphae.

Item type: Article
ID code: 4573
Keywords: edge detection, feature extraction, hyphae, image analysis, segmentation, semiautomatic methods, snakes, biology, biometrics, Probabilities. Mathematical statistics, Biology, Agricultural and Biological Sciences(all), Biochemistry, Genetics and Molecular Biology(all), Applied Mathematics, Statistics and Probability, Immunology and Microbiology(all), Medicine(all)
Subjects: Science > Mathematics > Probabilities. Mathematical statistics
Science > Natural history > Biology
Department: Faculty of Science > Mathematics and Statistics
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 03 Nov 2007
    Last modified: 04 Sep 2014 14:37
    URI: http://strathprints.strath.ac.uk/id/eprint/4573

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