Add to ORKGVisual texture is one of the most fundamental properties of a visible surface. It participates as one of the major modalities which help us in the understanding of our visual environment. The different textures in an image are usually very apparent to a human observer, but automatic description of these patterns has proved to be complex
AbstractThis analysis addresses the issue that texture properties are defined on ensembles of possib...
A number of texture classification approaches have been developed in the past but most of these stud...
Deep learning has established many new state of the art solutions in the last decade in areas such a...
We describe a texture analysis system in which informative discrimination rules are learned from a m...
Texture classification poses a well known difficulty within computer vision systems. This paper revi...
This paper proposes, applies and evaluates a new technique for texture classification in digital ima...
Abstract Texture plays an important role in numerous computer vision applications. Many methods for ...
Texture plays an increasingly important role in computer vision. It has found wide application in re...
A combined neural network and rule-based approach is suggested as a general framework for pattern re...
Work reported herein was conducted at the Artificial Intelligence Laboratory, a Massachusetts Instit...
AbstractRecently, researchers have started using texture for data visualization. The rationale behin...
The performances of current texture analysis algorithms are still poor, especially when applied to a...
We introduce a new model of natural textures based on the feature spaces of convolutional neural net...
The visual system represents textural image regions as simple statistics that are useful for the rap...
About the book: Texture analysis is an important generic research area of machine vision. The potent...
AbstractThis analysis addresses the issue that texture properties are defined on ensembles of possib...
A number of texture classification approaches have been developed in the past but most of these stud...
Deep learning has established many new state of the art solutions in the last decade in areas such a...
We describe a texture analysis system in which informative discrimination rules are learned from a m...
Texture classification poses a well known difficulty within computer vision systems. This paper revi...
This paper proposes, applies and evaluates a new technique for texture classification in digital ima...
Abstract Texture plays an important role in numerous computer vision applications. Many methods for ...
Texture plays an increasingly important role in computer vision. It has found wide application in re...
A combined neural network and rule-based approach is suggested as a general framework for pattern re...
Work reported herein was conducted at the Artificial Intelligence Laboratory, a Massachusetts Instit...
AbstractRecently, researchers have started using texture for data visualization. The rationale behin...
The performances of current texture analysis algorithms are still poor, especially when applied to a...
We introduce a new model of natural textures based on the feature spaces of convolutional neural net...
The visual system represents textural image regions as simple statistics that are useful for the rap...
About the book: Texture analysis is an important generic research area of machine vision. The potent...
AbstractThis analysis addresses the issue that texture properties are defined on ensembles of possib...
A number of texture classification approaches have been developed in the past but most of these stud...
Deep learning has established many new state of the art solutions in the last decade in areas such a...