Parchar – Characterization of Suspended Particles Through Image Processing in Matlab

Thor Nygaard Markussen

doi:10.5334/jors.114

Parchar – Characterization of Suspended Particles Through Image Processing in Matlab

Authors

Thor Nygaard Markussen CENPERM, Department of Geosciences and Natural Resource Management, University of Copenhagen https://orcid.org/0000-0001-9305-4013

DOI:

https://doi.org/10.5334/jors.114

Keywords:

Image processing, Thresholding, Particle characterization, Particle size, Blob analysis, Suspended particles

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.

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Published

2016-07-19

Issue

Vol. 4 No. 1 (2016)

Section

Software Metapapers

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