An improved high-precision subdivision algorithm for single-track absolute encoder using machine vision techniques
In order to achieve high-precision and robust measurement for a single-track absolute encoder, an improved subdivision algorithm based on machine vision technology is proposed. First, the composite subdivision algorithm combining RANdom SAmple Consensus and least square estimation is introduced. Sec...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2019-06-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/0020294019834967 |