Phase Identification by Image Processing of EBSD Patterns

Phase Identification by EBSD Analysis of Non-Metallic Crystallites

Currently, EBSD is used routinely for phase and crystallites orientation mapping and studying the grain boundary of metallic and alloy samples [1]; this is partially due to the well-suited nature of these sample types for EBSD as they show no charging effect and can be polished smoothly to provide a good diffraction path from specimen surface back to EBSD camera. On the other hand, though not g...

Image processing by alternate dual Gabor frames

‎We present an application of the dual Gabor frames to image‎ ‎processing‎. ‎Our algorithm is based on finding some dual Gabor‎ ‎frame generators which reconstructs accurately the elements of the‎ ‎underlying Hilbert space‎. ‎The advantages of these duals‎ ‎constructed by a polynomial of Gabor frame generators are compared‎ ‎with their canonical dual‎.

Possibilities and Limits of Phase Identification by Electron Backscatter Diffraction (EBSD) in the SEM

Identification of selected monogeneans using image processing, artificial neural network and K-nearest neighbor

Abstract Over the last two decades, improvements in developing computational tools made significant contributions to the classification of biological specimens` images to their correspondence species. These days, identification of biological species is much easier for taxonomist and even non-taxonomists due to the development of automated computer techniques and systems.  In this study, we d...

Automatic quantification of crack patterns by image processing

Image processing technologies are proposed to quantify crack patterns. On the basis of the technologies, a software “Crack Image Analysis System” (CIAS) has been developed. An image of soil crack network is used as an example to illustrate the image processing technologies and the operations of the CIAS. The quantification of the crack image involves the following three steps: image segmentatio...