Set-permutation-occurrence matrix based texture segmentation

R. Zwiggelaar, L. Blot, D Raba, E. R. E Denton

Research output: Chapter in Book/Report/Conference proceedingChapter

10 Citations (Scopus)

Abstract

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
Pages1099-1107
Number of pages9
Volume2652
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin / Heidelberg

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