Path Segmentation Algorithm for Automatic Guided Vehicle Based on Machine Vision
Autor: | Peng Wang, Jing Lei Xin, Shi Wei Yin, Yuan Zhang, Ji Xiang Li |
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Rok vydání: | 2010 |
Předmět: |
Machine vision
Computer science business.industry Mechanical Engineering Wiener filter ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Image segmentation Image (mathematics) symbols.namesake Mechanics of Materials Line (geometry) Path (graph theory) symbols General Materials Science Segmentation Computer vision Enhanced Data Rates for GSM Evolution Artificial intelligence business Algorithm |
Zdroj: | Key Engineering Materials. :330-333 |
ISSN: | 1662-9795 |
Popis: | A novel path segmentation algorithm for automatic guided vehicle is designed by machine vision technology. Firstly, wiener filter based on parameter estimate is used to restore path image in HIS model. Secondly, mutivariate stepwise fitted regression method is adopted to smooth guide line edge of path image. It can be concluded that path guide line of automatic guided vehicle under industry surrounding may be recognized accurately through this way. |
Databáze: | OpenAIRE |
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