Set-permutation-occurrence matrix based texture segmentation

Reyer Zwiggelaar, Lilian Blot, David Raba, Erika R. E. Denton

Research output: Chapter in Book/Report/Conference proceedingChapter

11 Citations (Scopus)


We have investigated a combination of statistical modelling and expectation maximisation for a texture based approach to the segmentation of mammographic images. Texture modelling is based on the implicit incorporation of spatial information through the introduction of a set-permutation-occurrence matrix. Statistical modelling is used for data generalisation and noise removal purposes. Expectation maximisation modelling of the spatial information in combination with the statistical modelling is evaluated. The developed segmentation results are used for automatic mammographic risk assessment.
Original languageEnglish
Title of host publicationPattern Recognition and Image Analysis
PublisherSpringer Berlin / Heidelberg
Number of pages9
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin / Heidelberg

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