Computacional routine for determination of the main axes of grain images

Abstract

The grain morphology is an important source of information in the study of grains provenance and transportation characteristics. Many proposed methods for characterization of grains are based on the dimensions of the largest (L), shortest (S) and intermediary (I) axis. This paper presents a programming routine to measure the dimensions of all grain axes and to select the main axes used in the study of morphology. The program uses bi-dimensional images of grains, in *.jpg format, and black-white colors. The determination of axes may be done from images containing many grains. Keywords: Image analysis, grain morphology.