The Applications of Pattern recognition like wood classification, stone and rock classification problems, the major usage techniques ate different texture classification techniques. Generally most of the problems used statistical approach for texture analysis and texture classification. Gray Level Co-occurrence Matrices (GLCM) approach is particularly applied in texture analysis and texture cla...

Procedural texturing has been an active research area in computer graphics with some open problems still unsolved (D. S. Ebert, F. K. Musgrave, K. P. Peachey, K. Perlin, and S. Worley, 1998, “Texturing and Modeling: A Procedural Approach,” Academic Press, San Diego). One major problem is on how to estimate or recover the parameter values for a given procedural texture using the input texture im...

Texture is a fundamental feature which provides significant information for image classification, and is an important content used in content-based image retrieval (CBIR) system. To implement texture-based image database retrieval, texture segmentation techniques are need to segment textured regions from arbitrary images in the database. Texture segmentation has been recognized as a difficult p...

Texture analysis methods have been used in various image processing tasks, such as image segmentation, recognition, shape analysis, texture synthesis and image compression. When applying any of these methods, we assume that the input image has some textural characteristics. This paper addresses the problem of deciding whether an image has texture; in other words, whether texture-based methods a...

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...

The effects of the texture coordinate precision to the image for procedural texture mapping is presented. In our project, we are trying to implement procedural solid texture mapping by hardware. By reducing the number of parameters for our texture mapping model and precision of texture coordinate, we can implement procedural texture mapping with small number of gates. We checked that how many b...

Do judgments of texture similarity reflect surface texture or image texture? To find out, we had observers view a rectangular surface that was folded into three panels, much like a brochure. Each panel was textured with an oriented noise pattern and the observers' task was to determine which side panel matched the center panel in surface texture. Information about surface geometry was conveyed ...

Based on energy distribution analysis of orthogonal FRIT coefficients, a novel digital image watermark embedding and blind detecting algorithm in ridgelet domain is proposed in this paper. Since the ridgelet transform has directional sensitivity and anisotropy, the image is first partitioned into small pieces and the orthogonal FRIT is applied for each piece to obtain a sparse representation of...