Internet Archive Scholar

Research on the Methods to Reading Pointer Instrument Based on Machine Vision

Huanjun Liu
2015 Proceedings of the 2015 International Conference on Electrical, Electronics and Mechatronics   unpublished

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (1.4 MB)
https://web.archive.org/web/20180724104921/https://download.atlantis-press.com/article/25846347/pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL. The file type is application/pdf.

This paper puts forward to a novel intelligent methods to reading point instrument to replace human reading. The images of pointer instrument are captured. Firstly a segmentation algorithm based on unsupervised learning is presented to segment the image for locating the scales and pointer. This algorithm combines the fuzzy C-means method with fuzzy support vector machines, and can subdivide the image into the objects and background efficiently. Secondly the according to the characteristic of
more » ... nter instrument, the central of instrument dial is confirmed by Hough transform. And then the central angles of the scale regions and pointer region are calculated. At last the reading value of pointer instrument is determined. The Experiments prove the method presented by this paper is effective.
doi:10.2991/iceem-15.2015.31 fatcat:hybxdoyle5fwnee3wxvda5r7ae
Citation

Huanjun Liu. "Research on the Methods to Reading Pointer Instrument Based on Machine Vision." Proceedings of the 2015 International Conference on Electrical, Electronics and Mechatronics (2015)