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[ÇóÖú] ÎÄÏ×ÇóÖú Texture description and segmentation through fractal geometry

Title: Texture description and segmentation through fractal geometry
Authors: James M. Keller, Susan Chen, Richard M. Crownover
Source:
Computer Vision, Graphics, and Image Processing,
Volume 45, Issue 2,
February 1989,
Pages 150-166
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Texture description and segmentation through fractal geometry*1

This article is not included in your organization's subscription. However, you may be able to access this article under your organization's agreement with Elsevier.


James M. Keller, Susan Chen and Richard M. Crownover

Electrical and Computer Engineering Department, University of Missouri-Columbia, Columbia, Missouri 65211, USA

Mathematics Department, University of Missouri-Columbia, Columbia, Missouri 65211, USA

Received 10 November 1987;  Revised 25 July 1988.  Available online 30 June 2004.

Abstract
Fractal geometry is receiving increased attention as a model for natural phenomena. In this paper we first present a new method for estimating the fractal dimension from image surfaces and show that it performs better at describing and segmenting generated fractal sets. Since the fractal dimension alone is not sufficient to characterize natural textures, we define a new class of texture measures based on the concept of lacunarity and use them, together with the fractal dimension, to describe and segment natural texture images.

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