Name
Title | ||
|---|---|---|
Research of the Equipment Calibration Methods for Fertilizers Particles Distribution by Size Using Image Processing Measurement Method |
Abstract | ||
|---|---|---|
Image processing technologies nowadays are widely used in quality control. A new automated quality control system saves resources. Quality control in the fertilizer industry is carried out without interruption. Only indirect measurements can achieve the required quality production efficiency. This article presents the methodology for calibrating indirect particle measurement methods. Particle analysis is performed by processing digital images. Correction of results is carried out with a sieve correction factor. In this work, studies have been carried out using linear regression polynomial function and artificial neural network. With the latter, the best results are achieved with sufficient data for training. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MMAR.2018.8486109 | 2018 23rd International Conference on Methods & Models in Automation & Robotics (MMAR) |
Keywords | Field | DocType |
Particle size distribution,digital image processing,image segmentation,computer vision | Process engineering,Polynomial,Computer science,Image processing,Digital image,Control engineering,Control system,Sieve,Artificial neural network,Calibration,Linear regression | Conference |
ISBN | Citations | PageRank |
978-1-5386-4326-6 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrius Laucka | 1 | 0 | 1.01 |
| Vaida Adaskeviciute | 2 | 0 | 0.34 |
| Algimantas Valinevicius | 3 | 12 | 5.40 |
| Darius Andriukaitis | 4 | 13 | 6.09 |