Open AccessMethod of particle characterisation; morphology by image analysis
Author(s) -
Karima Bélaroui,
MarieNoëlle Pons
Publication year - 2015
Publication title -
revue des sciences fondamentales et appliquées
Language(s) - English
Resource type - Journals
ISSN - 1112-9867
DOI - 10.4314/jfas.v4i2.9
Subject(s) - thresholding , particle (ecology) , characterization (materials science) , morphological analysis , mathematical morphology , particle size distribution , image processing , particle size , sieve analysis , morphology (biology) , scanning electron microscope , biological system , image (mathematics) , set (abstract data type) , population , materials science , computer science , artificial intelligence , nanotechnology , chemical engineering , composite material , geology , engineering , paleontology , oceanography , demography , sociology , biology , programming language
The aim of our work is to establish a morphological characterization of particles. The particle size analysis determines the size distribution of a population of particles using a laser granulometer device. The evolution of particle size distributions is complemented by a study on the particle shape. Thus, morphological analysis consists to acquire images of the particles by using a scanning electron microscopy which will be then processed using an algorithm. The treatment is a set of operations that are thresholding, erosion, expansion and reconstruction of the image. Data processing is performed based on a set of dimensional parameters.