Fractal dimensions are quantities which have been shown to be useful in the classification and segmentation of textures with scaling behaviour. The application of the concept of fractal analysis to the study of irregular structures is demonstrated by optical roughness measurements. Problems arising in the numerical determination of fractal dimensions are briefly mentioned. Scale space filtering techniques are suggestet to overcome some of these problems which in particular are given with the detection of the limited scaling regions of natural textures
The same term, 'fractals' incorporates two rather different meanings and it is convenient to split t...
AbstractFractal dimension is an important parameter of Fractal geometry that finds significant appli...
The same term, 'fractals' incorporates two rather different meanings and it is convenient to split t...
The method of scale space filtering has been used till now in image analysis for the description and...
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 segment...
Texture-based recognition for image segmentation and classification is very important in many domai...
Texture-based recognition for image segmentation and classification is very important in many domai...
The theory of multi-fractals can be used for a complete physical characterization of a fractal set w...
Increasingly complex numerical analyses require more and more precise, accurate and varied input par...
AbstractFractal dimension is an important parameter of Fractal geometry that finds significant appli...
The same term, 'fractals' incorporates two rather different meanings and it is convenient to split t...
The same term, 'fractals' incorporates two rather different meanings and it is convenient to split t...
This paper describes a new approach to the segmentation of textured gray-scale images based on image...
The same term, 'fractals' incorporates two rather different meanings and it is convenient to split t...
AbstractFractal dimension is an important parameter of Fractal geometry that finds significant appli...
The same term, 'fractals' incorporates two rather different meanings and it is convenient to split t...
The method of scale space filtering has been used till now in image analysis for the description and...
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 segment...
Texture-based recognition for image segmentation and classification is very important in many domai...
Texture-based recognition for image segmentation and classification is very important in many domai...
The theory of multi-fractals can be used for a complete physical characterization of a fractal set w...
Increasingly complex numerical analyses require more and more precise, accurate and varied input par...
AbstractFractal dimension is an important parameter of Fractal geometry that finds significant appli...
The same term, 'fractals' incorporates two rather different meanings and it is convenient to split t...
The same term, 'fractals' incorporates two rather different meanings and it is convenient to split t...
This paper describes a new approach to the segmentation of textured gray-scale images based on image...
The same term, 'fractals' incorporates two rather different meanings and it is convenient to split t...
AbstractFractal dimension is an important parameter of Fractal geometry that finds significant appli...
The same term, 'fractals' incorporates two rather different meanings and it is convenient to split t...