Analysis of texture images using robust fractal description

N. Avadhanam; S. Mitra

doi:10.1109/IAI.1994.336692

Analysis of texture images using robust fractal description

N. Avadhanam, S. Mitra

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	0818662506
DOIs	https://doi.org/10.1109/IAI.1994.336692
State	Published - 1995
Event	1995 IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994 - Dallas, United States Duration: Apr 21 1994 → Apr 24 1994

Publication series

Name	Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Conference

Conference	1995 IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994
Country/Territory	United States
City	Dallas
Period	04/21/94 → 04/24/94

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10.1109/IAI.1994.336692

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Avadhanam, N., & Mitra, S. (1995). Analysis of texture images using robust fractal description. In Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994 (pp. 1-6). [336692] (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAI.1994.336692

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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.",

author = "N. Avadhanam and S. Mitra",

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language = "English",

series = "Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation",

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Avadhanam, N & Mitra, S 1995, Analysis of texture images using robust fractal description. in Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994., 336692, Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 1995 IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994, Dallas, United States, 04/21/94. https://doi.org/10.1109/IAI.1994.336692

Analysis of texture images using robust fractal description. / Avadhanam, N.; Mitra, S.

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994. Institute of Electrical and Electronics Engineers Inc., 1995. p. 1-6 336692 (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Analysis of texture images using robust fractal description

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