Analysis of texture images using robust fractal description

N. Avadhanam, S. Mitra

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

1 Scopus citations

Abstract

A maximum likelihood estimation (MLE) method is used to estimate the fractal dimension of a number of natural texture images with and without the presence of noise. An additional texture measure which can be linked to the lacunarity measure is used to characterize natural textures since fractal dimension alone cannot totally characterize texture images. Segmentation of natural textures is successfully achieved by a k-means clustering algorithm using fractal dimension and the additional measure as representative features.

Original languageEnglish
Title of host publicationProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)0818662506
DOIs
StatePublished - 1995
Event1995 IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994 - Dallas, United States
Duration: Apr 21 1994Apr 24 1994

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Conference

Conference1995 IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994
CountryUnited States
CityDallas
Period04/21/9404/24/94

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