In this paper we present a new wavelet domain technique for texture analysis and test of pattern replicability. The main property of the proposed features is that they measure texture quality along the most important perceptual dimensions. In other words, we quantify and classify textures according to their directionality, symmetry, regularity and type of regularity. After the feature extractio...

This paper presents a new method for realistic real-time rendering of tree foliage. Some approaches to this problem have been presented before but the quality of their results was not maintainable with respect to changes in view vector and observer distance. Our method is based on a hierarchy of images obtained from preprocessing the botanical tree structure (an L-system) and storing the inform...

introduction the increasing use of satellite remote sensing data for civilian use has proved to be the most cost-effective means of mapping and monitoring for environmental changes. satellite remote sensing has played a pivotal role in finding forest cover, vegetation type and land use changes in urban areas. one of the most complete of these methods is classification. the conventional per-pixe...

This Paper Presents, an Image Processing Method for counting the number of trees in a High Spatial Resolution Satellite Image using Texture Approach. A hierarchical strategy is followed for detect, delineate and counting the trees in an image. Texture Approach Algorithm converts the RS Image in to HSI Image for more qualitatively analyze the image data. Image delineation is done approximately f...

Texture analysis and synthesis is very important for computer graphics, vision, and image processing. This paper describes an algorithm which can produce new textures with a matching visual appearance from a given example image. Our algorithm is based on a model that characterizes textures using a nonlinear deterministic function. During analysis, an example texture is summarized into this func...

Contourlet domain Hidden Markov Models can provide a powerful approach for statis tical modeling and processing of contourlet coefficients of natural textural images. This multiscale model captures the statistical structure of smooth, texture and edge regions of an image. Contourlets have emerged as a new mathematical tool for image processing. They provide a compact and decorrelated image repr...

There exist many computer graphics techniques which could achieve high quality tree generation. However, only a few works focus on realistic modeling of tree bark. Difficulties lie in the complex appearance of the bark surfaces which are largely determined by their mesostructures. Unlike traditional physical based methods, in this paper, we present an appearance-based method to model tree bark ...

Spatial fluctuations in microwave backscatter may be an important piece of information in discriminating tree stands. However, the presence of speckle in synthetic aperture radar (SAR) image data is a barrier to the exploitation of image texture. We explored a new methodology that combines a recent adaptive speckle reduction algorithm by Lopes et al. [12] with a generic texture estimation schem...

The rapid expansion of the Internet and the wide use of digital data have increased the need for both efficient image database creation and retrieval procedure. The challenge in image retrieval is to develop methods that can capture the important characteristics of an image, which makes it unique, and allow its accurate identification. The focus of this paper is on the image processing aspects ...