A study on using image serving technology for high precision mechanical positioning
| Autor: | Chuen-Horng Lin, Muh-Don Hsiao, Kuo-Jung Lai |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Aerospace Engineering Video camera 02 engineering and technology 01 natural sciences law.invention Image server Sampling (signal processing) law 0202 electrical engineering electronic engineering information engineering Segmentation Computer vision Pattern matching Civil and Structural Engineering Hybrid image business.industry Mechanical Engineering 010401 analytical chemistry 0104 chemical sciences Computer Science Applications Control and Systems Engineering Signal Processing 020201 artificial intelligence & image processing Charge-coupled device Artificial intelligence business Fiducial marker |
| Zdroj: | Mechanical Systems and Signal Processing. 81:493-514 |
| ISSN: | 0888-3270 |
| DOI: | 10.1016/j.ymssp.2016.03.017 |
| Popis: | This paper focused on using image server technology for high precision mechanical positioning. Rapid and precise positioning systems depend on the correct positions of CCD (Charge Coupled Device) video cameras, as well as on pattern matching modes. This study deals with four different positions captured by an automatic detection system employing a CCD video camera. According to a variety of hybrid image registration systems, this study proposes an entire set of methods for achieving optimal hybrid pattern matching. First, the four different position detections captured by the CCD video camera in low-resolution were examined. Next, the original position detection was carried out in high-resolution, in order to derive a precise set of CCD video camera positions. The fiducial mark (FM) was then divided into two types in the optimal option for pattern matching: the “fiducial mark” and “non-fiducial mark”, which were then used for sampling. The automatic detection method is able to achieve the first pattern matching detection for recognized images. Unrecognized images or images that cannot have an FM were subjected to fine pattern matching detection. When it is not possible to find more than one FM after the proposed detection method, this suggests that the position of the CCD video camera should be reset. In this paper, the results of the experiment regarding the CCD camera precision location and the segmentation of fiducial patterns or insignificant fiducial patterns can detect and segment more unique areas and areas with unique features. |
| Databáze: | OpenAIRE |
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