We distinguish between perceptual and physical texture differences: the former differences are those perceived by humans, while the latter, on which we concentrate, are those defined by differences in the processes that create the texture in the scene. The task of texture segmentation is to identify image curves that separate different textures. To segment textured images, one must first be able to discriminate textures. A segmentation algorithm performs texture-discrimination tests at densely spaced image positions, then interprets the results to localize edges. This article focuses on the first stage, texture discrimination
A new unsupervised algorithm for texture segmentation is proposed in this paper. The new scheme is b...
This paper describes a comparative study of texture features, with particular emphasis on the applic...
The performances of current texture analysis algorithms are still poor, especially when applied to a...
Abstract. Recent human vision research [1] suggests modelling preattentive texture segmentation by t...
An algorithm for finding texture boundaries in images is developed on the basis of a computational m...
An algorithm for finding texture boundaries in images is developed on the basis of a computational m...
The extraction of features that are sensitive to texture in an image has been the subject of intensi...
We present a computational model of human texture segmentation and argue for its utility in machine ...
The extraction of features that are sensitive to texture in an image has been the subject of intensi...
Texture provides one cue for identifying the physical cause of an intensity edge, such as occlusio...
The computation of immediate texture discrimination involves finding boundaries between regions of d...
AbstractInstantaneous texture discrimination performance was examined for different texture stimuli ...
Summary: Texture analysis is a tool to detect the forest from the trees. Understanding texture does ...
In this thesis we present contributions related to texture detection and discrimination to be used ...
Texture segmentation is a significant and primary issue in texture analysis. It is concerned with a...
A new unsupervised algorithm for texture segmentation is proposed in this paper. The new scheme is b...
This paper describes a comparative study of texture features, with particular emphasis on the applic...
The performances of current texture analysis algorithms are still poor, especially when applied to a...
Abstract. Recent human vision research [1] suggests modelling preattentive texture segmentation by t...
An algorithm for finding texture boundaries in images is developed on the basis of a computational m...
An algorithm for finding texture boundaries in images is developed on the basis of a computational m...
The extraction of features that are sensitive to texture in an image has been the subject of intensi...
We present a computational model of human texture segmentation and argue for its utility in machine ...
The extraction of features that are sensitive to texture in an image has been the subject of intensi...
Texture provides one cue for identifying the physical cause of an intensity edge, such as occlusio...
The computation of immediate texture discrimination involves finding boundaries between regions of d...
AbstractInstantaneous texture discrimination performance was examined for different texture stimuli ...
Summary: Texture analysis is a tool to detect the forest from the trees. Understanding texture does ...
In this thesis we present contributions related to texture detection and discrimination to be used ...
Texture segmentation is a significant and primary issue in texture analysis. It is concerned with a...
A new unsupervised algorithm for texture segmentation is proposed in this paper. The new scheme is b...
This paper describes a comparative study of texture features, with particular emphasis on the applic...
The performances of current texture analysis algorithms are still poor, especially when applied to a...