texture image

With an Euclidean distance based classifier, each nonoverlapping window of the texture image is then assigned to its corresponding category.

The texture images segmentation method is applied to the segmentation of texture image and seismic section images.

A texture image segmentation algorithm based on spectral histograms and Expectation Maximization(EM) is recommended.

Then normal filtering and texture environment operations are performed using the texture image.

The image segmentation methods based on wavelet transformation can segment random texture image.

This paper proposes a novel algorithm for segmentation of texture image based on variogram function.

Inpainting based on structure image and texture image were discussed separately.

In the texture image, the imperfect part is denoted as defect.

This paper presents a novel bionic model based on olfactory systems to generate texture image.

It is most suitable for complex texture image because the affection of image statistic characteristics is little.

The research of paper especially pays attention to methods of texture image in painting.

So the new method is valuable for texture image retrieval in the future.

The gray bits in the texture image in Figure 10 are 60 percent transparent.

Texture image segmentation method using wavelet frame decomposition and sectional set fuzzy clustering

Tool condition monitoring by texture image processing of the wavelet-neural network

Research on the integer-to-integer wavelet-coefficient-based texture image retrieval techniques

Detecting Main Frequencies for Multiscale Texture Image and Texture Segmenting

Comparative Studies on Similarity Measures for Texture Image Retrieval

An Unsupervised Segmentation Framework for Texture Image Queries

Segmentation of Texture Image Using Neural Network and Genetic Algorithms

Vectorial Orientation Field Detecting of Striped Texture Image

Nonlinear Diffusion for Linear Texture Image Enhancement

Texture Image Retrieval Based Complex Wavelet and KL Distance

Classification Based on Support Vector Machine and Distance Classification for Texture Image

Classfication of SAR Using Multipolarmetric and Texture Image

Method for Segmenting Local Regions in Texture Image

Linear Texture Image Retrieval Based on Attributed Relational Histogram

Texture Image Segmentation Based on Gabor Wavelet and Principle Component Analysis

An Invariant Multiscale Texture Image Analysis Algorithm Based on Radon Transform

Texture image segmentation based on Gabor wavelet using geodesic active contour model

Semi-automatic Segmentation of Texture Image Based on Nonlinear Diffusion

An Algorithm for Segmentation of Texture Image Based on Image Variogram Function

Texture Image Retrieval Based on Double Density Wavelet Transform

A Segmentation Method of Color Texture Image

Texture Image Segmentation Based on Gaussian Mixture Models

A Texton-Based Algorithm of Texture Image Segmentation

New synthesis method on texture image

Progressive Texture Image Retrieval Based on M-Band Wavelet Features

A New Method for Texture Image Synthesis

A texture image recognizing method based on high order statistics

A Segmentation Method for Texture Image Based on Fractal Features

A Study on Texture Image Classifying Based on Gray-level Co-occurrence Matrix

Texture Image Segmentation Based on Quotient Space

Texture Image Analysis Based on Hidden Markov Binding Tree Model

Texture Image Segmentation Based on the Grating Cell Model

Texture image fusion based on wavelet transforms

The Method of Texture Image Generation Based on Chaotic Mapping

Texture Image Segmentation Based on DT-CWT and MRF Model