A strong strain rate dependence on the crystallographic texture of oxygen-free high conductivity copper is observed and reported for the first time. Two shear compression specimens were deformed at widely different strain rates (0.001 s 1 and 7000 s ) to the same strain, and their textures were determined using orientation image microscopy. By comparing the stress–strain curves and the major te...

The development of a twinned microstructure in hexagonal close-packed rolled magnesium compressed in the in-plane direction has been monitored in situ with neutron diffraction. The continuous conversion of the parent to daughter microstructure is tracked through the variation of diffraction peak intensities corresponding to each. Approximately 80% of the parent microstructure twins by 8% compre...

Material property evolution during processing is governed by the evolution of the underlying microstructure. We present an efficient technique for tailoring texture development and thus, optimizing properties in forming processes involving polycrystalline materials. The deformation process simulator allows simulation of texture formation using a continuum representation of the orientation distr...

Abstract The interplay of microstructural mechanisms controlling the deformation-induced martensitic phase transformations and texture formation in all phases a metastable austenitic Cr-Mn-Ni steel was investigated using situ synchrotron radiation diffraction under uniaxial compression ex electron backscatter diffraction. With increasing deformation, originally fully transformed to mixture γ-au...

All the shergottite meteorites display intense shock metamorphisms. Especially, plagioclase shows a characteristic shock feature: formation of diaplectic glass (maskelynite) or melting (Duke, 1968; McSween and Stoffler, 1980; McSween and Jarosewich, 1983). By studying the shergottite meteorites, we can get a better understanding of the nature of shock metamorphism of olivine, in comparison with...

In this paper, we proposed a new fingerprint matching algorithm based on local geometric feature of fingerprint minutia and texture feature for each minutia. To describe the geometric feature of fingerprint minutia, we build a bi-minutia based bar model and get the geometric relationship between the bar and ridges of two candidate minutia; to demonstrate the texture feature, we creatively adopt...

In this paper, we show how to harness both lowrank and sparse structures in regular or near regular textures for image completion. Our method leverages the new convex optimization for low-rank and sparse signal recovery and can automatically correctly repair the global structure of a corrupted texture, even without precise information about the regions to be completed. Through extensive simulat...

This paper presents a three-dimensional level set-based image segmentation method. Instead of the typical image features, like intensity or edge information, the method uses texture feature analysis in order to be more applicable to image sets with distinctive patterns. The current implementation makes use of a set of Grey Level Co-occurrence Matrix texture features that are generated and selec...

This paper deals with the classification of objects described by planar curves in an image. Invariance to deformation is an important aspect of shape representation and two representations are described with different degrees of such invariance. One of these is a new statistical method for shape description exhibiting a large degree of such invariance. Using scale-space to describe shape statis...

In this chapter, we introduce concepts and algorithms of shape and texture based deformable models, more specifically Active Shape Models (ASM), Active Appearance models (AAM) and Morpahble Models, for for facial image analysis. Such models, learned from training examples, allow admissible deformations under statistical constraints on the shape and/or texture of the pattern of interests. As suc...