Links between the fractal Hausdorff dimension, the Fourier transform of 2D scenes, and image segmentation by texture are discussed. It is shown that the fractal Hausdorff dimension can be derived by integration of the intensity in the spatial frequency domain (i.e., the Fourier plane) over a set of bandlimited spatial filters. The differences between a computational and an optical approach to determine the Hausdorff dimension are shown, and advantages of each method are discussed. Possible future directions for research and improvements are mentioned. Simulated fractal scenes are considered as test images for both the computational and the optical approach.</p
AbstractFractal dimension is an important parameter of Fractal geometry that finds significant appli...
In this thesis we present an overview of image processing techniques which use fractal methods in so...
This article discusses the interplay in fractal geometry occurring between computer programs for dev...
Links between the fractal Hausdorff dimension, the Fourier transform of two-dimensional scenes, and ...
Links between the fractal Hausdorff dimension, the Fourier transform of 2D scenes, and image segment...
Links between the fractal Hausdorff-dimension, the Fourier transform of 2D scenes and image segmenta...
Fractal dimensions are quantities which have been shown to be useful in the classification and segme...
This work proposes a novel technique for the numerical calculus of the fractal dimension of fractal ...
The method of scale space filtering has been used till now in image analysis for the description and...
There exist several methods for calculating the fractal dimension of objects represented as 2D digit...
AbstractFractal dimension is an important parameter of Fractal geometry that finds significant appli...
Two measures are commonly used to describe scale-invariant complexity in images: fractal dimension (...
This work proposes the development and study of a novel technique lot the generation of fractal desc...
The natural world is typically made up of 3D objects characterized by more or less complex internal ...
Two measures are commonly used to describe scale-invariant complexity in images: fractal dimension (...
AbstractFractal dimension is an important parameter of Fractal geometry that finds significant appli...
In this thesis we present an overview of image processing techniques which use fractal methods in so...
This article discusses the interplay in fractal geometry occurring between computer programs for dev...
Links between the fractal Hausdorff dimension, the Fourier transform of two-dimensional scenes, and ...
Links between the fractal Hausdorff dimension, the Fourier transform of 2D scenes, and image segment...
Links between the fractal Hausdorff-dimension, the Fourier transform of 2D scenes and image segmenta...
Fractal dimensions are quantities which have been shown to be useful in the classification and segme...
This work proposes a novel technique for the numerical calculus of the fractal dimension of fractal ...
The method of scale space filtering has been used till now in image analysis for the description and...
There exist several methods for calculating the fractal dimension of objects represented as 2D digit...
AbstractFractal dimension is an important parameter of Fractal geometry that finds significant appli...
Two measures are commonly used to describe scale-invariant complexity in images: fractal dimension (...
This work proposes the development and study of a novel technique lot the generation of fractal desc...
The natural world is typically made up of 3D objects characterized by more or less complex internal ...
Two measures are commonly used to describe scale-invariant complexity in images: fractal dimension (...
AbstractFractal dimension is an important parameter of Fractal geometry that finds significant appli...
In this thesis we present an overview of image processing techniques which use fractal methods in so...
This article discusses the interplay in fractal geometry occurring between computer programs for dev...