Texture Granularities

P. Southam, R.W. Harvey

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Citations (Scopus)

Abstract

We introduce three new texture features that are based on the morphological scale-space operator known as the sieve. The new features are tested on two databases. The first, the Outex texture database, contains Brodatz-like textures captured under constant illumination, scale and rotation. The second, the Outex natural scene database, contains images of real-world scenes taken under variable conditions. The new features are compared to univariate granulometries, with which they have some similarities, and to the dual-tree complex wavelet transform, local binary patterns and co-occurrence matrices. The features based upon the sieve are shown to have the best overall performance.
Original languageEnglish
Title of host publicationImage Analysis and Processing – ICIAP 2005
EditorsFabio Roli, Sergio Vitulano
PublisherSpringer Berlin / Heidelberg
Pages304-311
Number of pages8
Volume3617
ISBN (Print)978-3-540-28869-5
DOIs
Publication statusPublished - 2005

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin / Heidelberg

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