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 ...

Medical disease examination is often based on images. Mining these images in order to obtain the classification knowledge for automatic image classification is a challenging task. This task belongs to the field of image mining. Image mining is usually not only comprised of mining a table of numbers it has also to do with transforming the image in the right image description. Both, the image des...

Iris liveness detection is an important module in an iris recognition system to reduce the risks of being spoofed by fake iris patterns at the sensor input. A general framework is proposed to detect multiple types of fake iris images based on texture analysis. A novel iris pattern representation method namely hierarchical visual codebook (HVC) is proposed to encode the distinctive and robust te...

Image segmentation is the process of finding out all non-overlapping distinct regions from the given image based on certain criteria such as intensity, color, texture or shape. This paper proposes a two level hybrid non classical model for image segmentation based on pixel color and texture features of the image. The first level uses Fuzzy C-Means (FCM) unsupervised method to form a clustering ...

This paper presents a portable vision system for forest surveying that can estimate the diameter of a target tree with a single " point and click ". Of specific interest is the texture segmentation algorithm used for accurately determining the boundaries of the target tree in a forest. This segmentation is challenging because the target may be occluding other, almost identical looking trees, cr...

The research presented in this article is aimed at the development of an automated imaging system for classification of tissues in medical images obtained from Computed Tomography (CT) scans. The article focuses on using ridgelet-based multi-resolution texture analysis. The approach consists of two steps: automatic extraction of the most discriminative texture features of regions of interest an...

This paper presents a simple texture synthesis method that is fast, efficient, and optimized. Given an input texture, the algorithm will synthesize a texture image of specified size by matching output image pixel neighborhoods with input pixel neighborhoods. The pixel-neighborhood matching will be aided by the use of a TreeStructured Vector Quantization (TSVQ) method which will allow the algori...

I have finished implementation of some traditional texture synthesis algorithms: pixel-based [EL99] and patch-based [EF01]. The first one, as well known is quite slow. I tested some perspective texture samples with these algorithms, as shown in Fig 1 and Fig 2. It is obvious that the textures of different scales are mixed together. This is just a shortcoming of traditional algorithms. I have ne...

In this study we use visible, short-wave infrared and thermal Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data validated with high-resolution Quickbird (QB) and Worldview2 (WV2) for mapping debris cover in the eastern Himalaya using two independent approaches: (a) a decision tree algorithm, and (b) texture analysis. The decision tree algorithm was based on multi-spect...

Montane and subalpine grasslands are prominent, but poorly understood, features of the Rocky Mountains. These communities frequently occur below reversed tree lines on valley floors, where nightly cold air accumulation is spatially coupled with fine soil texture. We used field experiments to assess the roles of minimum temperature, soil texture, grass competition, and ungulate browsing on the g...