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The science of fractal images

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TLDR
Fractal Modelling of Real World Images and a Unified Approach to Fractal Curves and Plants are studied.
Abstract
Contents: Foreword: People and Events Behind the "Science of Fractal Images".- Fractals in Nature: From Characterization to Simulation.- Algorithms for Random Fractals.- Color Plates and Captions.- Fractal Patterns Arising in Chaotic Dynamical Systems.- Fantastic Deterministic Fractals.- Fractal Modelling of Real World Images.- Fractal Landscapes Without Creases and with Rivers.- An Eye for Fractals.- A Unified Approach to Fractal Curves and Plants.- Exploring the Mandelbrot Set.- Bibliography.- Index.

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Journal ArticleDOI

Spatial Scaling in Ecology

John A. Wiens
- 01 Jan 1989 - 
TL;DR: Acts in what Hutchinson (1965) has called the 'ecological theatre' are played out on various scales of space and time and to understand the drama, one must view it on the appropriate scale.
Book

GSLIB: Geostatistical Software Library and User's Guide

TL;DR: In this paper, the authors present a set of programs that summarize data with histograms and other graphics, calculate measures of spatial continuity, provide smooth least-squares-type maps, and perform stochastic spatial simulation.
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Bayesian learning for neural networks

TL;DR: Bayesian Learning for Neural Networks shows that Bayesian methods allow complex neural network models to be used without fear of the "overfitting" that can occur with traditional neural network learning methods.
Book

The Algorithmic Beauty of Plants

TL;DR: Graphical modeling using L-systems and turtle interpretation of symbols for plant models and iterated function systems, and Fractal properties of plants.
Book

Texture analysis

TL;DR: The geometric, random field, fractal, and signal processing models of texture are presented and major classes of texture processing such as segmentation, classification, and shape from texture are discussed.