<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Automatic detection of objects is a part of visual systems supporting a quality control system of a manufacturing process. The paper concerns the influence of the resolution of images and the size of detected objects in pixels on measurements results. Test images of the objects of a known size were generated. The values of the perimeter of the objects were compared to the obtained values of measurements on the images with degraded resolution. The process of the degradation of the references images by successive downsizing the resolution, detection and measurements were performed applying automatic algorithm. The analysis of obtained results showed that the size of the analysed objects on the digital images plays an important role in reliability and accuracy of the measurement. The author concludes that, in order to avoid a bias in measurement caused by insufficient object resolution, the minimal acceptable size of objects on digital images in pixels should be recommended.</p></abstract>

Automatic detection of objects is a part of visual systems supporting a quality control system of a manufacturing process. The paper concerns the influence of the resolution of images and the size of detected objects in pixels on measurements results. Test images of the objects of a known size were generated. The values of the perimeter of the objects were compared to the obtained values of measurements on the images with degraded resolution. The process of the degradation of the references images by successive downsizing the resolution, detection and measurements were performed applying automatic algorithm. The analysis of obtained results showed that the size of the analysed objects on the digital images plays an important role in reliability and accuracy of the measurement. The author concludes that, in order to avoid a bias in measurement caused by insufficient object resolution, the minimal acceptable size of objects on digital images in pixels should be recommended.

The impact of the resolution of the measured object on the assessment of its perimeter

Faculty of Mechanical Engineering, Institute of Applied Informatics

Production Engineering Archives

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Automatic detection of objects is a part of visual systems supporting a quality control system of a manufacturing process. The paper concerns the influence of...

The impact of the resolution of the measured object on the assessment of its perimeter

Online veröffentlicht: 30. Dez. 2019

Seitenbereich: 47 - 51

Eingereicht: 16. Sept. 2019

Akzeptiert: 29. Okt. 2019

DOI: https://doi.org/10.30657/pea.2019.25.09

Schlüsselwörter
digital measurements, resolution, image processing, stereology

© 2019 Aneta Gądek-Moszczak, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The impact of the resolution of the measured object on the assessment of its perimeter

Online veröffentlicht: 30. Dez. 2019

Seitenbereich: 47 - 51

Eingereicht: 16. Sept. 2019

Akzeptiert: 29. Okt. 2019

DOI: https://doi.org/10.30657/pea.2019.25.09

Schlüsselwörterdigital measurements, resolution, image processing, stereology

© 2019 Aneta Gądek-Moszczak, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
digital measurements, resolution, image processing, stereology