Clustering of the texture images is a demanding part of multimedia database mining. Most of the natural textures are non-homogenous in terms of color and textural properties. In many cases, there is a need for a system that is able to divide the non-homogenous texture images into visually similar clusters. In this paper, we introduce a new method for this purpose. In our clustering technique, t...

In practice, image segmentation can be performed in many areas like medical and satellite communications to detect objects and regions in the image.The texture enhancement methods representing all texture information using a single image component. In previous texture enhancement methods reduce noise or artifacts in the image to highlight the textures with the help of filters which reduces the ...

texture, one of the important elements in visual arts, is produced in different ways. whereas each painting is a multilayered object, any separate layer can have its own distinct texture. texture can be resulted of inherent nature of artist's depicted materials, such as canvas or support, and it can be, also, produced in the ground or paint layers. in addition, by using of different materi...

A novel constrained texture synthesis approach is proposed to enhance the visual quality of a degraded image by reconstructing its high frequency texture content. In low-bit-rate image and video compression and communication systems, high frequency transformed coefficients are often lost due to aggressive quantization or un-even error protection schemes. However, with the block-based encoding a...

Texture segmentation aims at dividing an image into perceptually uniform regions each containing a distinct texture. In images of natural scene, texture in a region can change gradually in scale and orientation due to perspective distortion. A naive segmentation method may erroneously group image patches with the same texture but slowly varying scales and orientations into distinct regions. Thi...

Inspired by the Probability of boundary (Pb) algorithm, a simplified texture gradient method has been developed to locate texture boundaries within gray-scale images. Despite considerable simplification, the proposed algorithm’s ability to locate texture boundaries is comparable with Pb’s textureboundary method. The proposed texture gradient method is also integrated with a biologicallyinspired...

Texture is an important image-content that has been utilized for different machine intelligent tasks, like those in machine vision and remote sensing, which identify objects of interest by segmenting the image texture. This paper aims at comparing texture features based on DFT (Discrete Fourier Transform) with ones based on Gabor wavelets for unsupervised image segmentation. The comparison is r...

Possible hemifield differences in texture segregation were investigated for both simple (Fourier, linear) and complex (non-Fourier, second-order) texture channels. There was only a very small lower-field advantage for texture segregation, consistent with the notion that the major processing in texture segregation is quite low level, perhaps V1. Complex-channel tasks do not show larger hemifield...

Projective texture mapping is a method of texture mapping described by Segal [3] that allows the texture image to be projected onto the scene as if by a slide projector. Figure 1 shows some example screen shots from the projspot demo, available in the NVIDIA OpenGL SDK. Projective texture mapping is useful in a variety of lighting techniques, including shadow mapping [4]. This document provides...

Content-Based Image Retrieval has been a major area of research in recent years. Efficient image retrieval with high precision would require an approach which combines usage of both the color and texture features of the image. In this paper we propose a method for enhancing the capabilities of texture based feature extraction and further demonstrate the use of these enhanced texture features in...