Treffer: Size and shape measure of particles by image analysis

Title:
Size and shape measure of particles by image analysis
Authors:
WEIXING WANG
Source:
Combinatorial image analysis (11th International Workshop, IWCIA 2006, Berlin, Germany, June 19-21, 2006)0IWCIA 2006. :253-262
Publisher Information:
Berlin; New York: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 12 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Analyse algorithme, Algorithm analysis, Análisis algoritmo, Analyse combinatoire, Combinatorial analysis, Análisis combinatorio, Analyse image, Image analysis, Análisis imagen, Dimension particule, Particle size, Dimensión partícula, Forme particule, Particle shape, Forma partícula, Invariance, Invarianza, Mesure forme, Shape measurement, Minimisation, Minimization, Minimización, Particule solide, Solid particle, Partícula sólida, Traitement image, Image processing, Procesamiento imagen
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
School of Electronic Engineering, University of Electronic Science and Technology of China, 610054, China
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=19131709
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19131709
Database:
PASCAL Archive

Weitere Informationen

This paper presents an image analysis measurement algorithm - best-fit rectangle for particle size and shape. The best-fit rectangle approach is a combination of the Ferret method and the least 2nd moments minimization, only requiring calculation of three moments about the center of gravity, and maximum and minimum co-ordinates in a co-ordinate system oriented in the direction of the axis of least 2nd moments, and a simple area ratio. It is a simple rotation-invariance method, reflecting shape (Elongation and angularity). The algorithm is introduced theoretically in details, analyzed and compared to other widely used methods, and has been tested by a large number of solid particle samples in a laboratory. The test results show that by using this method, the results are very close to manual measurements.