Laser scanner measuring improved by image pixels using a Markov random field algorithm.
J Opt Soc Am A Opt Image Sci Vis
; 37(12): 2014-2019, 2020 Dec 01.
Article
en En
| MEDLINE
| ID: mdl-33362144
ABSTRACT
Laser scanners can be employed for spatial measuring tasks, but measuring accuracy is restricted because of the time of flight working principle. Laser-scanner-based observations with measuring errors might lead to rough spatial reconstruction. In this paper, an image registration method applying a Markov random field (MRF) algorithm is proposed. First, point cloud images are projected to a particular plane in a specific way. Then, the characteristic points of the projected image and the color image are extracted by an improved Harris algorithm. Next, the rotation and translation matrices can be calculated from the two image planes through the registration method. Finally, the MRF model is established describing the relation between the pixels and corresponding point cloud, which improves the resolution of the point cloud image. Furthermore, the color information of the point cloud is also matched. This method improves the efficiency and accuracy of registration. The final experimental result shows that using the MRF model increases measuring accuracy by 15%.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Tipo de estudio:
Clinical_trials
/
Health_economic_evaluation
/
Prognostic_studies
Idioma:
En
Revista:
J Opt Soc Am A Opt Image Sci Vis
Asunto de la revista:
OFTALMOLOGIA
Año:
2020
Tipo del documento:
Article