scholarly journals Comparison of Two Techniques of Pattern Recognition in the Image Analysis-Based Wheat Stalk Length Characterization

2020 ◽  
Vol 24 (2) ◽  
pp. 1-8
Author(s):  
Jan Thore Benthien ◽  
Sabrina Heldner ◽  
Benjamin Seppke ◽  
Jan Hörbelt
Keyword(s):  
Image Analysis ◽  
Measuring Method ◽  
Edge Length ◽  
Length Measurement ◽  
Sieve Analysis ◽  
Flow Lines ◽  
Characterization Methods ◽  
Tillage Practices ◽  
Stalk Length ◽  
Rectangular Model

AbstractThe chaff quality or, more specifically, the distribution of stalk length after straw shredding during wheat harvest with a combined harvester is of significant interest for ploughless tillage practices. The currently applied characterization methods (manual length measurement or the cascade sieve analysis) are time-consuming and labour-intensive. Image analysis-based size characterization has the potential to solve these problems. In this study, two techniques of digital image processing, the well-known method of image moments (rectangular model) and a sub-pixel skeletonization approach (flow lines-tracing), were applied comparatively for stalk length measurement. Upon applying the rectangular model, the analyzed stalks were found to be longer than when the flow lines-tracing algorithm was applied. This was attributed to the unbiased decision criteria of the measuring method. A greater length of the stalk is to be expected in the main stalk than when the length of a twisted or branched stalk is measured from the edge length of a rectangular box that encloses it.

SIGN IN Welcome!Log into your account your username your password Forgot your password Privacy policy PASSWORD RECOVERY Recover your password your email Struktol Home New fast measuring method for process optimization of sucrose crystallization New fast measuring method for process optimization of sucrose crystallization

2020 ◽  
pp. 49-52
Author(s):  
Trine Aabo Andersen
Keyword(s):  
Image Analysis ◽  
Process Optimization ◽  
Crystal Size ◽  
Measuring Method ◽  
Sieve Analysis ◽  
Image Analysis System ◽  
Line System ◽  
Non Invasive ◽  
Analysis System ◽  
User Friendly

A new fast measuring method for process optimization of sucrose crystallization using image analysis based on high quality images and algorithms is introduced. With the mobile, non-invasive at-line system all steps of the sucrose crystallization can be measured to determine the crystal size distribution. The image analysis system is easy to operate and is as well an efficient laboratory solution with user-friendly and customized software. In comparison to sieve analysis, image analyses performed with the ParticleTech Solution have been proven to be reliable.

scholarly journals Alternative approach for defining the particle population requirements for static image analysis based particle characterization methods

2019 ◽  
Vol 30 (5) ◽  
pp. 920-929 ◽  
Author(s):  
James Clarke ◽  
John F. Gamble ◽  
John W. Jones ◽  
Mike Tobyn ◽  
Richard Greenwood ◽  
...  
Keyword(s):  
Image Analysis ◽  
Particle Characterization ◽  
Characterization Methods ◽  
Particle Population ◽  
Static Image ◽  
Alternative Approach

Study of Particle Size Distribution of Selected Material of Solid Fertilizer by Using Photo-Optical Image Analysis

2014 ◽  
Vol 1059 ◽  
pp. 19-25
Author(s):  
Miroslav Macák ◽  
Ladislav Nozdrovický
Keyword(s):  
Particle Size ◽  
Image Analysis ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Production Systems ◽  
Physical And Mechanical Properties ◽  
Optical Image ◽  
National Standard ◽  
Sieve Analysis

In many branches of industrial production, there is a need for continual monitoring of the quality of manufactured product. Such requirements arise in the production of fertilizers, as the physical and mechanical properties of fertilizers affect the quality of application provided by fertilizer spreaders. The aim of the presented paper was to compare the suitability and applicability of the photo-optical image analysis with the sieve analysis used for the determination of fertilizer particle size distribution. The photo-optical method was used by [1] to study the fertilizer particle size distribution. These researchers tried to measure the size and velocity of flying particles in relation to the quality of application of centrifugal spreaders. During our comparative experiments, we have compared the photo-optical image analysis and sieve analysis. In experiments, we used the samples of the granulated fertilizer NMgS produced by the Duslo, a.s. company. The sieve analysis was conducted according to the national standard STN EN 1235 in the laboratories of the Department of Machines and Production Systems at the Faculty of Engineering, Slovak University of Agriculture in Nitra.

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