<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The article presents the impact of the edge detection method in the image analysis on the reading accuracy of the measured value. In order to ensure the automatic reading of the measured value by an analog meter, a standard webcam and the LabVIEW programme were applied. NI Vision Development tools were used. The Hough transform was used to detect the indicator. The programme output was compared during the application of several methods of edge detection. Those included: the Prewitt operator, the Roberts cross, the Sobel operator and the Canny edge detector. The image analysis was made for an analog meter indicator with the above-mentioned methods, and the results of that analysis were compared with each other and presented.</p></abstract>

The article presents the impact of the edge detection method in the image analysis on the reading accuracy of the measured value. In order to ensure the automatic reading of the measured value by an analog meter, a standard webcam and the LabVIEW programme were applied. NI Vision Development tools were used. The Hough transform was used to detect the indicator. The programme output was compared during the application of several methods of edge detection. Those included: the Prewitt operator, the Roberts cross, the Sobel operator and the Canny edge detector. The image analysis was made for an analog meter indicator with the above-mentioned methods, and the results of that analysis were compared with each other and presented.

The Impact of the Implementation of Edge Detection Methods on the Accuracy of Automatic Voltage Reading

Rzeszow University of Technology, al. Powstancow Warszawy 12, 35-959, Rzeszow,

Department of Metrology and Diagnostic Systems, Faculty of Electrical and Computer Engineering, Rzeszow University of Technology, W. Pola street, No.2, 35-959, Rzeszow,

Measurement Science Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The article presents the impact of the edge detection method in the image analysis on the reading accuracy of the measured value. In order to ensure the...

The Impact of the Implementation of Edge Detection Methods on the Accuracy of Automatic Voltage Reading

Online veröffentlicht: 26. Apr. 2017

Seitenbereich: 93 - 99

Eingereicht: 23. Dez. 2016

Akzeptiert: 10. Apr. 2017

DOI: https://doi.org/10.1515/msr-2017-0012

Schlüsselwörter
Image analysis, Hough transform, edge detection, LabVIEW environment

© by Kamil Sidor

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The Impact of the Implementation of Edge Detection Methods on the Accuracy of Automatic Voltage Reading

Online veröffentlicht: 26. Apr. 2017

Seitenbereich: 93 - 99

Eingereicht: 23. Dez. 2016

Akzeptiert: 10. Apr. 2017

DOI: https://doi.org/10.1515/msr-2017-0012

SchlüsselwörterImage analysis, Hough transform, edge detection, LabVIEW environment

© by Kamil Sidor

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Image analysis, Hough transform, edge detection, LabVIEW environment