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Texture Classification

Texture classification using discriminant wavelet packet subbands

Texture classification using discriminant wavelet packet subbands

... a texture segmentation system is to assign class labels to each of the image pixels, and to do so effi- ciently and ...and classification. In case of wavelet packet texture analysis, the extraction ...

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Multiple Representations of Perceptual Features for Texture Classification and Retrieval

Multiple Representations of Perceptual Features for Texture Classification and Retrieval

... The objective of this paper is to evaluate the computational measures for perceptual textural features. First, proposed a new method to estimate a set of perceptual textural features. Second, application of this proposed ...

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Texture Classification for 3D Urban Map

Texture Classification for 3D Urban Map

... control texture resolution for rendering large-scale 3D urban ...maps texture data generally tend to be far larger than geometry information such as vertices and triangles, it is more effective to reduce the ...

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Stone Texture Classification and Discrimination by Edge Direction Movement

Stone Texture Classification and Discrimination by Edge Direction Movement

... ABSTRACT: Texture discrimination is the rich field in the area pattern recognition and pattern ...The texture classification is the one of the major field in texture ...for texture ...

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Local line directional neighborhood pattern for texture classification

Local line directional neighborhood pattern for texture classification

... invariant texture classification using three features namely CLBP-Center (CLBP_C), CLBP-Sign (CLBP_S), and CLBP-Magnitude ...for texture analysis by recognizing the dominant ...

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A SURVEY OF TEXTURE CLASSIFICATION USING RECENT TECHNOLOGY

A SURVEY OF TEXTURE CLASSIFICATION USING RECENT TECHNOLOGY

... for texture classification based on compressed sensing, suitable for large texture database ...retrieval. Texture classification design has been performed by feature extraction and ...

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Support vector machines for texture classification

Support vector machines for texture classification

... the texture classification performance, a set of experiments was performed with varying degrees of ...the classification of ...the texture-learning task for ...

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Local discriminant wavelet packet basis for texture classification

Local discriminant wavelet packet basis for texture classification

... Texture classification can be defined as a mapping from a set of input image pixels to a set of class ...containing texture regions is key to utilising textural properties which can differentiate ...

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Local Binary Pattern Technique For Soil Texture Classification

Local Binary Pattern Technique For Soil Texture Classification

... programs texture classification is one of the giant and beneficial ...Many texture models were implemented over the last few years and Local Binary Pattern (LBP) approach is one of the easy and ...

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Study and Review of Various Image Texture Classification Methods

Study and Review of Various Image Texture Classification Methods

... Dennis Gabor proposed Gabor features which is a method to represent signals in both the time as well as in frequency domain. These Gabor features are based on Gabor filters (Bovik, 1991; Randen and Husy, 1999), which are ...

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Comparison and Fusion of Multiresolution Features for Texture Classification

Comparison and Fusion of Multiresolution Features for Texture Classification

... the texture classification problem with individual and combined multiresolution features, ...classify texture images with the highest accuracy, the wavelet frame follows them, the dyadic wavelet ...

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Texture Classification Using Sparse Frame-Based Representations

Texture Classification Using Sparse Frame-Based Representations

... t is the iteration number. The first step is suboptimal due to the use of practical vector selection algorithms, while the second step finds the F that minimizes the objective function. In a texture ...

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Bayesian texture classification and retrieval based on multiscale feature vector

Bayesian texture classification and retrieval based on multiscale feature vector

... for texture classification, in addition to the proposed method, the methods in (Ce- lik and Tjahjadi, 2009) and (Kokare et ...the texture samples, ...Haralick texture classification ...

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Texture Classification Using Spline, Wavelet Decomposition and Fractal Dimension

Texture Classification Using Spline, Wavelet Decomposition and Fractal Dimension

... image texture analysis is the recognition of image regions using texture ...properties. Texture in this sense forms an important visual cue in identifying various types of homogeneous regions; this ...

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Texture classification using multiresolution transforms

Texture classification using multiresolution transforms

... In texture classification, the goal is to assign an unknown sample image to one of a set of known ...classes. Texture classification is one of the challenging problems in image processing and ...

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TEXTURE CLASSIFICATION BY USING STRUCTURAL TEXTURE SIMILARITY MATRICES

TEXTURE CLASSIFICATION BY USING STRUCTURAL TEXTURE SIMILARITY MATRICES

... image classification and content-based image ...representation, classification and content-based image retrieval tasks ...included texture with structure and colour ...

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Whisker texture classification with uncertain contact pose geometry

Whisker texture classification with uncertain contact pose geometry

... it has been shown that information about the whisker–object contact pose geometry can improve whisker sensing [9],[13]. It is difficult to determine why this has not been the case here. It may be that better classifiers ...

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Texture classification of fabric defects using machine learning

Texture classification of fabric defects using machine learning

... We have studied the problem of automatic classification of the woven fabric defects based on texture of the images. The presented work consists on a comparative study of three different approaches: GLCM, ...

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Non-Hodgkin lymphoma response evaluation with MRI texture classification

Non-Hodgkin lymphoma response evaluation with MRI texture classification

... that texture parameters change during tumor response to ...in texture appearance between staging and the third imaging timepoint was dis- tinct and emerged from the results of other combinations in both ...

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Repeating average filter for noisy texture classification

Repeating average filter for noisy texture classification

... Abstract. In this paper, it is shown that repeating average lter increases the uniform patterns of noisy textures and, consequently, increases the classication accuracy of textures. In other words, for noisy textures, ...

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