Texture discrimination by Gabor functions
Biological Cybernetics
Segmentation of textured images using Gibbs random fields
Computer Vision, Graphics, and Image Processing
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
A multi-scale approach to nonuniform diffusion
CVGIP: Image Understanding
Handbook of pattern recognition & computer vision
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear multiscale representations for image segmentation
Computer Vision and Image Understanding
Filtering for Texture Classification: A Comparative Study
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometry-Driven Diffusion in Computer Vision
Geometry-Driven Diffusion in Computer Vision
A framework for texture analysis based on spatial filtering
A framework for texture analysis based on spatial filtering
Image recovery using the anisotropic diffusion equation
IEEE Transactions on Image Processing
Anisotropic diffusion of multivalued images with applications to color filtering
IEEE Transactions on Image Processing
Segmentation of Gabor-filtered textures using deterministic relaxation
IEEE Transactions on Image Processing
An unsupervised texture segmentation algorithm with feature space reduction and knowledge feedback
IEEE Transactions on Image Processing
Adaptive smoothing respecting feature directions
IEEE Transactions on Image Processing
Optimal Gabor filters for texture segmentation
IEEE Transactions on Image Processing
Texture classification and segmentation using wavelet frames
IEEE Transactions on Image Processing
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The Poisson equation is a class of partial differential equations which describe a steady-state temperature distribution in a bounded object. This paper applies this equation to the modelling of image textures by constructing specific heat source functions and boundary conditions. The heat source function can be considered as an image transform function such that a set of texture features at different frequencies and orientations can be extracted from the transformed image, in conjunction with using a Gabor wavelet filer bank. Better performance of image texture retrieval by these features is achieved than using the features extracted directly from the original image texture.