Texture classification based on the fractal performance of the moment feature images

Guitao Cao, Pengfei Shi, Bing Hu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Texture classification plays an important role in identifying objects. The fractal properties based on moment feature images for texture classification are investigated in this paper. The two-order moments of the image in small windows are used as feature images whose fractal dimensions are then computed and employed to classify the textures using support vector machines (SVMs). Experiments on several Brodatz nature images and four in-vivo Bmode ultrasound liver images demonstrate the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages762-769
Number of pages8
DOIs
StatePublished - 2005
Externally publishedYes
Event2nd International Conference on Image Analysis and Recognition, ICIAR 2005 - Toronto, Canada
Duration: 28 Sep 200530 Sep 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3656 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Image Analysis and Recognition, ICIAR 2005
Country/TerritoryCanada
CityToronto
Period28/09/0530/09/05

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