Number vs. Volume weighted distributions

Introduction As it was explained in a previous post, we ask the reader to present both number and volume weighted distributions for a three-particle composed material, with the following settings: A-type: high-resolution elliptical particles with major-axe of 12 mm, AR=2 B-type: high-resolution elliptical particles with major-axe of 10 mm, AR=3 C-type: high-resolution elliptical particles with major-axe of …

Number vs. Volume distributions

Introduction In this post we will analyze number vs. volume weighted distributions in a material composed by two different kinds of (synthetic) particles. In the image on the left we can check the differences between number and volume weighted particle size distributions for the same sample. As the number weighted shows how material is composed …

Synthetic samples

The synthetic microstructure generator is a script written in Matlab code and developed by Mark Tschoop. At this moment, the last updated version is  November 2009. By means of this tool we can generate a binary image with non-overlapping ellipses of varying sizes and distributions. It was originally developed to examine the influence of particle aspect ratio, area fraction, and …

Feature extraction on ‘Blobs’ sample

This is our first experiment just to test our software IDE composed by ImageJ (image processing) and Matlab (statistical analysis). It is supposed that the reader knows the basics about how to operate with both ImageJ and Matlab‘s  software. Sample presentation & image capture ImageJ is installed with sample images by default. To illustrate this example we use the ‘Blobs’ sample image (‘File–>Open …

Analysis of synthetic ‘rice kernels’ (low resolution)

Introduction In this post we will analyze a synthetically generated image (with Matlab) that contains objects (ellipsoids) very similar to rice kernels. As we will see, the low image resolution will result on a bad feature extraction and, consequently no valid conclusions can be extracted at the end… Individual objects We approximate the 2D projection of a …