Texture refers to the surface properties that can be easily described by its primitives (tones) and their spatial relationship. Texture analysis is a process to find the shape, segment or identify the region of interest on the object. In this research study, we approach to implement unsupervised texture segmentation in hardware. First, the Discrete Wavelet Transform (DWT) is used to extract the...

Relative Advantage of Touch over Vision in the Exploration of Texture. (August 2008) Yoon H. Bai, B.S., Texas A&M University Chair of Advisory Committee: Dr. Yoonsuck Choe Texture segmentation is an effortless process in scene analysis, yet its mechanisms have not been sufficiently understood. Several theories and algorithms exist for texture discrimination based on vision. These models diverge...

This paper empirically compares nine image dissimilarity measures that are based on distributions of color and texture features summarizing over 1,000 CPU hours of computational experiments. Ground truth is collected via a novel random sampling scheme for color, and via an image partitioning method for texture. Quantitative performance evaluations are given for classification, image retrieval, ...

In this paper, we demonstrate that multiscale Bayesian image segmentation can be enhanced by improving both contextual modeling and statistical texture characterization. Firstly, we show a joint multi-context and multiscale approach to achieve more robust contextual modeling by using multiple context models. Secondly, we study statistical texture characterization using wavelet-domain Hidden Mar...

A new texture descriptor, called CSG vector, is proposed for image retrieval and image segmentation in this paper. The descriptor can be generated by composing the gradient vectors obtained from the sub-images through a wavelet decomposition of a texture image. By exercising a database containing 2400 images which were cropped from a set of 150 types of textures selected from the Brodatz Album,...

Previous approaches to texture analysis and segmentation pe$orm multi-channel filtering by applying a set of filters in frequency domain or a set of masks in spatialdomain. In this paper we describe a texture segmentation algorithm based on multi-channel filtering in conjunction with neural networks for feature extraction and segmentation. The features extracted by Gabor filters have been appli...