Image Analysis Procedure to Quantify Soil Macropore Structure

1991 ◽  
Vol 7 (5) ◽  
pp. 636-642 ◽  
Author(s):  
Y. J. Han ◽  
V. L. Quisenberry
Keyword(s):  
Image Analysis ◽  
Analysis Procedure ◽  
Macropore Structure ◽  
Soil Macropore

Modifications to a method of rapid assessment of soil macropore structure by image analysis

Geoderma ◽  
1992 ◽  
Vol 53 (3-4) ◽  
pp. 255-274 ◽  
Author(s):  
A.B. McBratney ◽  
C.J. Moran ◽  
J.B. Stewart ◽  
S.R. Cattle ◽  
A.J. Koppi
Keyword(s):  
Image Analysis ◽  
Rapid Assessment ◽  
Macropore Structure ◽  
Soil Macropore

Validation of a new image analysis procedure for quantifying filamentous bacteria in activated sludge

2014 ◽  
Vol 70 (6) ◽  
pp. 955-963 ◽  
Author(s):  
Ewa Liwarska-Bizukojc ◽  
Marcin Bizukojc ◽  
Olga Andrzejczak
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Activated Sludge ◽  
Analysis Procedure ◽  
Automated Image Analysis ◽  
Filamentous Bacteria ◽  
Image Processing And Analysis ◽  
Manual Counting ◽  
Analysis Application ◽  
Activated Sludge Systems

Quantification of filamentous bacteria in activated sludge systems can be made by manual counting under a microscope or by the application of various automated image analysis procedures. The latter has been significantly developed in the last two decades. In this work a new method based upon automated image analysis techniques was elaborated and presented. It consisted of three stages: (a) Neisser staining, (b) grabbing of microscopic images, and (c) digital image processing and analysis. This automated image analysis procedure possessed the features of novelty. It simultaneously delivered data about aggregates and filaments in an individual calculation routine, which is seldom met in the procedures described in the literature so far. What is more important, the macroprogram performing image processing and calculation of morphological parameters was written in the same software which was used for grabbing of images. Previously published procedures required using two different types of software, one for image grabbing and another one for image processing and analysis. Application of this new procedure for the quantification of filamentous bacteria in the full-scale as well as laboratory activated sludge systems proved that it was simple, fast and delivered reliable results.

Development of a novel image analysis procedure to quantify biological porosity and illuvial clay in large soil thin sections

Geoderma ◽  
2017 ◽  
Vol 292 ◽  
pp. 135-148 ◽  
Author(s):  
Ophélie Sauzet ◽  
Cécilia Cammas ◽  
Jean Marc Gilliot ◽  
Manon Bajard ◽  
David Montagne
Keyword(s):  
Image Analysis ◽  
Analysis Procedure ◽  
Thin Sections ◽  
Large Soil

Use of image analysis for sludge characterisation: studying the relation between floc shape and sludge settleability

2006 ◽  
Vol 54 (1) ◽  
pp. 167-174 ◽  
Author(s):  
R. Jenné ◽  
E.N. Banadda ◽  
G. Gins ◽  
J. Deurinck ◽  
I.Y. Smets ◽  
...  
Keyword(s):  
Image Analysis ◽  
Principal Component ◽  
Analysis Procedure ◽  
Volume Index ◽  
Data Sets ◽  
Shape Descriptors ◽  
Automatic Image Analysis ◽  
Sludge Volume Index ◽  
Fully Automatic ◽  
Sludge Settleability

This paper starts by presenting a fully automatic image analysis procedure for characterisation of flocs and filaments in activated sludge images. Thereafter the attention is directed towards the results of four lab-scale experiments, in which image information is related to sludge settleability in terms of sludge volume index. This relation is statistically confirmed by applying a principal component analysis to the data. In addition, the redundancy in the data sets is studied with regard to floc shape descriptors and the monitoring potential of image analysis is demonstrated by means of a multiple linear regression exercise.

scholarly journals Development of an image analysis procedure for identifying protozoa and metazoa typical of activated sludge system

2007 ◽  
Vol 41 (12) ◽  
pp. 2581-2589 ◽  
Author(s):  
Y.P. Ginoris ◽  
A.L. Amaral ◽  
A. Nicolau ◽  
M.A.Z. Coelho ◽  
E.C. Ferreira
Keyword(s):  
Image Analysis ◽  
Activated Sludge ◽  
Analysis Procedure ◽  
Activated Sludge System
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