We introduce a new method of image texture analysis that is based on techniques that compress images in the form of weighted finite automata (WFA). We show that the WFA representation of images contain information about an image that is useful in analysing local texture and define a simple texture analysis method based on WFA. This method is the first texture analysis method that uses weighted ...

We present a fully automatic image processing pipeline to build a 2D morphable model of craniofacial saggital profile from a set of 3D head surface images. Subjects in this dataset wear a close fitting latex cap to reveal the overall skull shape. Texture based 3D pose normalization and facial landmarking are applied to extract the sagittal profile from 3D raw scan. Fully automatic profile annot...

Detailed surface characteristics of the particles produced during fretting may well be significant in determining their biological effects. Apart from a broad size determination very few attempts have been made at devising means of describing profile textures of particles. An approach is presented for describing the nature of particle shape and surface texture, as detected on the particle profi...

With the advances in integration of different units such as I/O controllers and network interfaces in a single chip, Intel introduced the low power Tolapai embedded processor. This processor is the first IA based system-on-chip (SoC) with an IA-32 processor core, North and South Bridges, and integrated Accelerator and network interface. In this paper we will show a way to design and model a rea...

Texture classification is one of the problems in the field of texture analysis. In this paper an efficient method of texture classification using Gabor transform is proposed, which considers the effect of rotation and scale variances of texture images. Due to its optimal localization properties in both spatial and frequency domain, the Gabor transform has been recognized as a very useful tool i...

This paper presents a new approach of rotation invariant texture analysis. Robust rotation invariant textures are important for digital image libraries and multimedia database. Here a method for application of rotation variant Traditional Gabor Filter (TGF) for rotation invariant texture analysis is presented. The orientation of the texture is determined using radon transformation. Once the rot...

Texture classification is an active topic in image processing which plays an important role in many applications such as image retrieval, inspection systems, face recognition, medical image processing, etc. There are many approaches extracting texture features in gray-level images such as local binary patterns, gray level co-occurence matrixes, statistical features, skeleton, scale invariant fe...

The unique iris structures motivate the development of an automatic identification system based on iris characteristic. Texture analysis with multichannel filtering approach is meant to extract feature from iris texture images and encode them into a compact and unique information for each iris. One of the tools that can analyze texture image in multiresolution approach is wavelet transform. In ...