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Fractal-Based Description of Natural Scenes
Abstract
This paper addresses the problems of 1) representing natural shapes such as mountains, trees, and clouds, and 2) computing their description from image data. To solve these problems, we must be able to relate natural surfaces to their images; this requires a good model of natural surface shapes. Fractal functions are a good choice for modeling 3-D natural surfaces because 1) many physical processes produce a fractal surface shape, 2) fractals are widely used as a graphics tool for generating natural-looking shapes, and 3) a survey of natural imagery has shown that the 3-D fractal surface model, transformed by the image formation process, furnishes an accurate description of both textured and shaded image regions. The 3-D fractal model provides a characterization of 3-D surfaces and their images for which the appropriateness of the model is verifiable. Furthermore, this characterization is stable over transformations of scale and linear transforms of intensity. The 3-D fractal model has been successfully applied to the problems of 1) texture segmentation and classification, 2) estimation of 3-D shape information, and 3) distinguishing between perceptually ``smooth'' and perceptually ``textured'' surfaces in the scene.
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Citations
Cited by
A theory for multiresolution signal decomposition: the wavelet representation
Mallat, S. G. (1989) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.192463 · Cited by 21,372
Perceptual organization and the representation of natural form
Pentland, A. P. (1986) · Artificial Intelligence · doi:10.1016/0004-3702(86)90052-4 · Cited by 561
Self-citation(1998) · Cited by 540
Color and spatial structure in natural scenes
Burton, G. J., & Moorhead, I. R. (1987) · Applied Optics · doi:10.1364/ao.26.000157 · Cited by 499
The gradient concept of landscape structure
McGarigal, K., & Cushman, S. A. (2005) · Issues and Perspectives in Landscape Ecology · doi:10.1017/cbo9780511614415.013 · Cited by 270
The Gradient Paradigm: A Conceptual and Analytical Framework for Landscape Ecology
Cushman, S. A., Gutzweiler, K., Evans, J. S., & McGarigal, K. (2010) · Spatial Complexity, Informatics, and Wildlife Conservation · doi:10.1007/978-4-431-87771-4_5 · Cited by 104
Steel Surface Defect Detection Using Texture Segmentation Based on Multifractal Dimension
Yazdchi, M., Yazdi, M., & Mahyari, A. G. (2009) · 2009 International Conference on Digital Image Processing · doi:10.1109/icdip.2009.68 · Cited by 65
Metadata
- Authors
- Pentland, A. P.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1984-11
- Volume
- PAMI-6
- Issue
- 6
- Pages
- 661-674
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2158270878
- Cited by
- 1,800
- References
- 0
- FWCI
- 18.60
- Type
- journal article
- Language
- en
- Open access
- closed
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