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Texture Features

by Jānis Lībeks, Douglas Turnbull, Long Before Michael Jackson Made, Gabor Gaborq, Haar Haarq
"... music videos for MTV, and even ..."
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music videos for MTV, and even

A Galaxy of Texture Features

by Xianghua Xie, Majid Mirmehdi
"... The aim of this chapter is to give experienced and new practitioners in image analysis and computer vision an overview and a quick reference to the “galaxy” of features that exist in the field of texture analysis. Clearly, given the limited space, only a corner of this vast galaxy is covered here! F ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
The aim of this chapter is to give experienced and new practitioners in image analysis and computer vision an overview and a quick reference to the “galaxy” of features that exist in the field of texture analysis. Clearly, given the limited space, only a corner of this vast galaxy is covered here

Texture Feature Evaluation for Segmentation of Historical Document Images

by Maroua Mehri, Petra Gomez-kramer, Alain Boucher, Hal Id Hal, Maroua Mehri, Alain Boucher , 2013
"... Texture feature evaluation for segmentation of historical ..."
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Texture feature evaluation for segmentation of historical

Comparison of texture features based on gabor filters

by Simona E. Grigorescu, Nicolai Petkov, Peter Kruizinga - IEEE Trans. on Image Processing
"... Abstract—Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are compared. The features differ in the type of nonlinear post-processing which is applied to the local power spectrum. The following features are considered: Gabor energy, complex moments, and ..."
Abstract - Cited by 157 (9 self) - Add to MetaCart
Abstract—Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are compared. The features differ in the type of nonlinear post-processing which is applied to the local power spectrum. The following features are considered: Gabor energy, complex moments

Distinctive texture features from perspective-invariant keypoints

by David Gossow, David Weikersdorfer, Technische Universität München, Michael Beetz, See Profile, David Gossow, David Weikersdorfer, Michael Beetz - In ICPR , 2012
"... Distinctive texture features from perspective-invariant keypoints ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Distinctive texture features from perspective-invariant keypoints

Zone classification using texture features

by Dmitry Chetverikov, Jisheng Liangt, Jzsef Kbmiives, Robert M. Haralickt - In Proc. International Conference on Pattern Recognition
"... We consider the problem of zone class$cation in document image processing. Document blocks are la-belled as text or non-text using texture features de-rived from a feature based interaction map (FBIM), a recently introduced general tool for texture analysis [3, 41. The zone classijication procedure ..."
Abstract - Cited by 17 (7 self) - Add to MetaCart
We consider the problem of zone class$cation in document image processing. Document blocks are la-belled as text or non-text using texture features de-rived from a feature based interaction map (FBIM), a recently introduced general tool for texture analysis [3, 41. The zone classijication procedure

CLUSTERING of TEXTURE FEATURES for

by Content Based Image, Erbug Celebi, Adil Alpkocak, Dokuz Eylul - Lecture Notes in Computer Science (Advances in Information Systems , 2000
"... Content-based image retrieval has received significant attention in recent years and many image retrieval systems have been developed based on image contents. In such systems, the well-known features to describe an image content are color, shape and texture. ..."
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Content-based image retrieval has received significant attention in recent years and many image retrieval systems have been developed based on image contents. In such systems, the well-known features to describe an image content are color, shape and texture.

CBIR using Textural Feature

by Nilam N Ghuge, S Arora Bhalotra
"... CBIR system focuses on retrieving images from the database; the system depends on the way the indexing is being implemented. The way or method in which an image is stored will affect how it will be retrieved later and which can save more storage space and improve the retrieval process. Building effe ..."
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effective content-based image retrieval (CBIR) systems involves the combination of image creation, storage, security, transmission, analysis, evaluation feature extraction, and feature combination in order to store and retrieve images effectively. The goal of CBIR systems is to support image retrieval based

Textural Features for Image Classification

by First Deputy, City Administrator, L. T. Destefano, A. H. Levis, S. Tartarone, Robert M. Haralick, Its'hak Dinstein
"... The authors wish to acknowledge the invaluable help and ..."
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The authors wish to acknowledge the invaluable help and

Optimization of Texture Feature Extraction Algorithm

by Tuan Anh Pham, Tuan Anh Pham , 2010
"... Texture, the pattern of information or arrangement of the structure found in an image, is an important feature of many image types. In a general sense, texture refers to surface characteristics and ap-pearance of an object given by the size, shape, density, arrange-ment, proportion of its elementary ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Texture, the pattern of information or arrangement of the structure found in an image, is an important feature of many image types. In a general sense, texture refers to surface characteristics and ap-pearance of an object given by the size, shape, density, arrange-ment, proportion of its
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