Add to ORKGThe ability to classify texture regions in images is considered to be an important aspect of scene analysis. The information gained from such classification can be used by a computer vision system to assist in image segmentation as well as object identification. In this paper, the use of a neural network model in performing classification of images containing regular textures is investigated. The texture features used in the classification process are Hough transform-based descriptors. The performance and capabilities of the neural network approach are then compared to classical technique utilizing a linear associative memory
© Springer International Publishing AG 2018. Convolutional Neural Networks have proved extremely suc...
An approach to setting the architecture and the initial weights of an artificial neural network for ...
Neural networks have been widely studied in a number of fields, such as neural architectures, neurob...
The ability to classify texture regions in images is considered to be an important aspect of scene a...
The ability to classify texture regions in images is considered to be an important aspect of scene a...
This paper presents backpropagation neural networks that utilize texture information to accurately c...
Texture classification poses a well known difficulty within computer vision systems. This paper revi...
This paper presents a technique for oriented texture classification which is based on the Hough tran...
Abstract. our aim in this work is to achieve an optimal approach of textures analysis and classifica...
This paper deals with application of neural networks in image segmentation. First part is an introdu...
In this paper the use of multilayer perceptron type neural networks in the characterization of image...
The focus of this thesis is on the emerging technology known as Neural Networks which has recently b...
Skin recognition is used in many applications ranging from algorithms for face detection, hand gestu...
We review more than 200 applications of neural networks in image processing and discuss the present ...
Texture plays an increasingly important role in computer vision. It has found wide application in re...
© Springer International Publishing AG 2018. Convolutional Neural Networks have proved extremely suc...
An approach to setting the architecture and the initial weights of an artificial neural network for ...
Neural networks have been widely studied in a number of fields, such as neural architectures, neurob...
The ability to classify texture regions in images is considered to be an important aspect of scene a...
The ability to classify texture regions in images is considered to be an important aspect of scene a...
This paper presents backpropagation neural networks that utilize texture information to accurately c...
Texture classification poses a well known difficulty within computer vision systems. This paper revi...
This paper presents a technique for oriented texture classification which is based on the Hough tran...
Abstract. our aim in this work is to achieve an optimal approach of textures analysis and classifica...
This paper deals with application of neural networks in image segmentation. First part is an introdu...
In this paper the use of multilayer perceptron type neural networks in the characterization of image...
The focus of this thesis is on the emerging technology known as Neural Networks which has recently b...
Skin recognition is used in many applications ranging from algorithms for face detection, hand gestu...
We review more than 200 applications of neural networks in image processing and discuss the present ...
Texture plays an increasingly important role in computer vision. It has found wide application in re...
© Springer International Publishing AG 2018. Convolutional Neural Networks have proved extremely suc...
An approach to setting the architecture and the initial weights of an artificial neural network for ...
Neural networks have been widely studied in a number of fields, such as neural architectures, neurob...