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Feature-Based Textures [article]

G. Ramanarayanan, K. Bala, B. Walter
2004 Symposium on Rendering  
This paper introduces feature-based textures, a new image representation that combines features and samples for high-quality texture mapping.  ...  Features identify boundaries within an image where samples change discontinuously.  ...  Conclusions This paper introduces feature-based textures, an image representation that combines features and samples for highquality texture mapping.  ... 
doi:10.2312/egwr/egsr04/265-274 fatcat:nfvzpohrord6xnqjiylcapyefq

Textural features based universal steganalysis

Bin Li, Jiwu Huang, Yun Q. Shi, Edward J. Delp III, Ping Wah Wong, Jana Dittmann, Nasir D. Memon
2008 Security, Forensics, Steganography, and Watermarking of Multimedia Contents X  
By developing a feature extraction technique previously used in texture classification, we propose a set of universal steganalytic features, which are extracted from the normalized histograms of the local  ...  This paper takes the task of image steganalysis as a texture classification problem. The impact of steganography to an image is viewed as the alteration of image texture in a fine scale.  ...  The final step is coming up with a supervised-learning algorithm to construct a feature-based classifier.  ... 
doi:10.1117/12.765817 dblp:conf/sswmc/LiHS08 fatcat:uxit3kpc4vafhki4ox6sndwxf4

Phase Based 3D Texture Features [chapter]

Janis Fehr, Hans Burkhardt
2006 Lecture Notes in Computer Science  
In addition, the phase based features are specialized to encode 3D textures, while texture and shape information interfere in the Haar-Integral approach.  ...  The proposed new class of phase based voxel-wise features achieves two major properties which can not be achieved by the previously known Haar-Integral based gray-scale features [1]: invariance towards  ...  Phase based 3D Texture Features In order to overcome the drawbacks of the Haar-Features while utilizing its strengths, we propose a new phase based approach towards voxel-wise rotation and gray-scale invariant  ... 
doi:10.1007/11861898_27 fatcat:otw66fuklzbm7g37h4ezsfynyu

Rock Textures Classification Based On Textural And Spectral Features

Tossaporn Kachanubal, Somkait Udomhunsakul
2008 Zenodo  
In this paper, we proposed a method to classify each type of natural rock texture. Our goal is to classify 26 classes of rock textures.  ...  First, we extract five features of each class by using principle component analysis combining with the use of applied spatial frequency measurement.  ...  Rock Textures Classification Based on Textural and Spectral Features Tossaporn Kachanubal, and Somkait Udomhunsakul T RGB images PCA Edge detection Modified SFM Modified SFM Eigen vector  ... 
doi:10.5281/zenodo.1071600 fatcat:oqunxdo3mzendjndo6kitabgsq

Writer verification using texture-based features

R. K. Hanusiak, L. S. Oliveira, E. Justino, R. Sabourin
2011 International Journal on Document Analysis and Recognition  
In this work, we propose a writer verification system that takes into account texture-based features and dissimilarity representation.  ...  A set of experiments on a database composed of 315 writers show the efficiency of the texture-based features and the ROC combination scheme.  ...  Such a texture is built based on the inherent properties of the writer.  ... 
doi:10.1007/s10032-011-0166-4 fatcat:k26sqcm7fbfq5n6nnlpi7snjwi

Texture Features for Content-Based Retrieval [chapter]

Nicu Sebe, Michael S. Lew
2001 Advances in Computer Vision and Pattern Recognition  
Texture in Content-Based Retrieval With content-based techniques, the important visual features of images are described mathematically using feature sets that are derived from the digital data.  ...  Although, in these systems texture features are used in combination with color and shape features, texture alone can also be used for content-based retrieval.  ... 
doi:10.1007/978-1-4471-3702-3_3 fatcat:h5g2uu4tfjhhjl2eopbarqvjge

Texture Classification Based on Texton Features

U Ravi Babu, V Vijay Kumar, B Sujatha
2012 International Journal of Image Graphics and Signal Processing  
Each texture analysis method depends upon how the selected texture features characterizes image. Whenever a new texture feature is derived it is tested whether it precisely classifies the textures.  ...  The proposed classification algorithm evaluates the histogram based techniques on TF for a precise classification.  ...  Some texture features classifies precisely the textures based on a specific method, where as the same texture features may fail in classifying the objects based on a different method.  ... 
doi:10.5815/ijigsp.2012.08.05 fatcat:mcbuhplrv5d4hpqqykw3zejsf4

Texture Synthesis based on Feature Description

Yan GUI, Mingang CHEN, Zhifeng XIE, Lizhuang MA, Zhihua CHEN
2012 Journal of Advanced Mechanical Design, Systems, and Manufacturing  
In this paper, we propose a desired distance metric to measure structural similarity when especially handling textures with salient features, which has the ability to find best matches during the patch-based  ...  Patch-based texture synthesis techniques from a small sample texture generate a new texture image efficiently, but one significant problem is that these existing texture synthesis algorithms suffer from  ...  Orientation field based feature matching In most cases, the inherent orientation of texture features should be considered in order to search a better feature matching.  ... 
doi:10.1299/jamdsm.6.376 fatcat:25fhirwsqbgk5gohxprh6o2xpm

Features for Ground Texture Based Localization – A Survey [article]

Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester
2020 arXiv   pre-print
Ground texture based vehicle localization using feature-based methods is a promising approach to achieve infrastructure-free high-accuracy localization.  ...  In this paper, we provide the first extensive evaluation of available feature extraction methods for this task, using separately taken image pairs as well as synthetic transformations.  ...  Ground texture based localization can be performed with appearance-based approaches [5, 15, 27, 38] , e.g. using normalized cross-correlation to find reoccurring image patches, and with feature-based  ... 
arXiv:2002.11948v2 fatcat:7fwoqfboongwlcrhlt2tmrhevu

Texture Segmentation Based on the Oscillatory Feature

Hong-Bo YANG
2006 Journal of Software (Chinese)  
The oscillatory feature together with other textural features based on the structure tensor and nonlinear diffusion constructs a 5 dimensional textural feature space.  ...  Texture segmentation is a typical difficult problem in image processing. This paper presents a new textural oscillatory feature based on image decomposition.  ... 
doi:10.1360/jos171908 fatcat:ufsoffqyhzgbjhsb2scal7v3ki

Forgery detection algorithm based on texture features

Ismail Taha Ahmed, Baraa Tareq Hammad, Norziana Jamil
2021 Indonesian Journal of Electrical Engineering and Computer Science  
Segmentation-based fractal texture analysis (SFTA), local binary pattern (LBP), and Haralick are the texture features that have been chosen.  ...  The outcomes of the experiment indicate that the SFTA texture feature surpassed all other texture features in all classifiers, making it the best texture feature to use in forgery detection.  ...  classifiers based on different texture features across MICC-Forgery detection algorithm based on texture features (IsmailTaha Ahmed) Figure 7 . 7 Performance evaluation of current methods in various  ... 
doi:10.11591/ijeecs.v24.i1.pp226-235 fatcat:kd3fue7movehhijge45r64ni6a

Feature-based surface parameterization and texture mapping

Eugene Zhang, Konstantin Mischaikow, Greg Turk
2005 ACM Transactions on Graphics  
We demonstrate our feature-based patch creation and patch unfolding methods for several textured models.  ...  Based on this observation, we describe a three-stage feature-based patch creation method for manifold surfaces.  ...  Fig. 15 . 15 This figure shows the parameterization of three models using our feature-based algorithm: textured models (left) and texture layouts (right, 512 × 512).• E.Zhang et al. Table I .  ... 
doi:10.1145/1037957.1037958 fatcat:gssxshuwz5hb5a5jlyonaztk2m

Face Recognition Based on Statistical Texture Features

Lama Akram Ibrahim, Nasser Nasser, Majd Ali
2021 Embedded Selforganising Systems  
Improvements are achieved by adding the image pre-processing and selecting the proper method according to the database problem and by extracting features from image local regions.  ...  In [5] , a quick computational procedure was developed to derive a set of features based texture called Haralick features where the statistical nature of texture was taken into account.  ...  So [8] introduced new GLRLM features based on the joint gray-level run-length distribution, it gave additional insight into image description and acted as effective features of texture-based image classification  ... 
doi:10.14464/ess.v7i1.471 fatcat:ja242wnponerddz5b55mcm7ixe

CLASSIFICATION OF OSTEOPOROSIS BASED ON TEXTURE FEATURES

P Prabakaran, G Manikannan, T Vijayalakshmi
2019 International Journal of Engineering Applied Sciences and Technology  
An approach that is based on a combination of multi resolution Gabor filters and 1D local binary pattern (1DLBP) features is proposed to extract the discriminative patterns in all the orientations and  ...  Texture characteristics are visually very analogous when witnessed from the naked eye for the bone micro-architecture of the osteoporotic and healthy cases which will be a challenging grouping problem.  ...  The method is based on two state-of-theart texture feature extraction methods: Gabor filters and local binary patterns which exhibit their own distinct advantages.  ... 
doi:10.33564/ijeast.2019.v04i08.036 fatcat:a2pr6loxl5g5dhyfwhwdohljlu

Texture discrimination based on global feature alignments

F. Phillips, J. T. Todd
2010 Journal of Vision  
another based on macroscopic phase alignments that define features that are larger than 1-.  ...  These results provide strong evidence that human observers make use of two distinct procedures for discriminating patches of texture: One based on image statistics that is possible for all textures; and  ...  Models of texture discrimination based on first-order feature histograms would again predict that the two patterns should be perceptually identical.  ... 
doi:10.1167/10.6.6 pmid:20884555 fatcat:igrvqn3xufbxzgcurl5fdggq2q
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