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Parchar – Characterization of Suspended Particles Through Image Processing in Matlab Cover

Parchar – Characterization of Suspended Particles Through Image Processing in Matlab

Open Access
|Jul 2016

Abstract

Studies of suspended particles and particle dynamics in aquatic environments increasingly rely on camera systems to characterize the particles. Numerous systems exist and all use different codes and practises to process the images from the systems. Here, a step-by-step guide to an image processing and particle characterization code for Matlab is presented with the aim of bringing the particle community towards standardized image processing techniques. The code uses morphological reconstruction and simple block processing to filter out noise, out-of-focus particles and light source inconsistencies. It has been implemented on a specific camera system but is applicable to numerous systems and on highly variable particle types due to the standardized setup.
DOI: https://doi.org/10.5334/jors.114 | Journal eISSN: 2049-9647
Language: English
Submitted on: Jan 21, 2016
Accepted on: Jul 1, 2016
Published on: Jul 19, 2016
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2016 Thor Nygaard Markussen, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.