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| Field |
Value |
| Title: | The reconstruction of dynamic 3D structure of biological objects using stereo microscope images |
| Authors: | 廖文宏
Liao,Wen-Hung; S. J. Aggarwal; J. K. Aggarwal |
| Contributors: | 資科系 |
| Keywords: | Quantitative microscopy;Biomedical image processing;3D structure reconstruction;Non-rigid motion;Cooperative feature matching |
| Date: | 1997-02 |
| Issue Date: | 2014-09-02 17:19:16 (UTC+8) |
| Abstract: | In this paper, we address the analysis of 3D shape and shape change in non-rigid biological objects imaged via a stereo light microscope. We propose an integrated approach for the reconstruction of 3D structure and the motion analysis for images in which only a few informative features are available. The key components of this framework are: 1) image registration using a correlation-based approach, 2) region-of-interest extraction using motion-based segmentation, and 3) stereo and motion analysis using a cooperative spatial and temporal matching process. We describe these three stages of processing and illustrate the efficacy of the proposed approach using real images of a live frog's ventricle. The reconstructed dynamic 3D structure of the ventricle is demonstrated in our experimental results, and it agrees qualitatively with the observed images of the ventricle. |
| Relation: | Machine Vision and Applications,9(4),166-178 |
| Data Type: | article |
| DOI: | http://dx.doi.org/10.1007/s001380050038 |
| DCField |
Value |
Language |
| dc.contributor (Contributor) | 資科系 | en_US |
| dc.creator (Authors) | 廖文宏 | zh_TW |
| dc.creator (Authors) | Liao,Wen-Hung; S. J. Aggarwal; J. K. Aggarwal | en_US |
| dc.date (Date) | 1997-02 | en_US |
| dc.date.accessioned | 2014-09-02 17:19:16 (UTC+8) | - |
| dc.date.available | 2014-09-02 17:19:16 (UTC+8) | - |
| dc.date.issued (Issue Date) | 2014-09-02 17:19:16 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/69580 | - |
| dc.description.abstract (Abstract) | In this paper, we address the analysis of 3D shape and shape change in non-rigid biological objects imaged via a stereo light microscope. We propose an integrated approach for the reconstruction of 3D structure and the motion analysis for images in which only a few informative features are available. The key components of this framework are: 1) image registration using a correlation-based approach, 2) region-of-interest extraction using motion-based segmentation, and 3) stereo and motion analysis using a cooperative spatial and temporal matching process. We describe these three stages of processing and illustrate the efficacy of the proposed approach using real images of a live frog's ventricle. The reconstructed dynamic 3D structure of the ventricle is demonstrated in our experimental results, and it agrees qualitatively with the observed images of the ventricle. | en_US |
| dc.format.extent | 2009554 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.relation (Relation) | Machine Vision and Applications,9(4),166-178 | en_US |
| dc.subject (Keywords) | Quantitative microscopy;Biomedical image processing;3D structure reconstruction;Non-rigid motion;Cooperative feature matching | en_US |
| dc.title (Title) | The reconstruction of dynamic 3D structure of biological objects using stereo microscope images | en_US |
| dc.type (Data Type) | article | en |
| dc.identifier.doi (DOI) | 10.1007/s001380050038 | en_US |
| dc.doi.uri | http://dx.doi.org/10.1007/s001380050038 | en_US |
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