dc.contributor.author |
Gorpas, D |
en |
dc.contributor.author |
Politopoulos, K |
en |
dc.contributor.author |
Yova, D |
en |
dc.date.accessioned |
2014-03-01T01:25:38Z |
|
dc.date.available |
2014-03-01T01:25:38Z |
|
dc.date.issued |
2007 |
en |
dc.identifier.issn |
0895-6111 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/17702 |
|
dc.subject |
3D skin tumour imaging |
en |
dc.subject |
Calibration |
en |
dc.subject |
Conjugate points |
en |
dc.subject |
Photogrammetry |
en |
dc.subject |
Small object imaging |
en |
dc.subject |
Structured light |
en |
dc.subject.classification |
Radiology, Nuclear Medicine & Medical Imaging |
en |
dc.subject.other |
Algorithms |
en |
dc.subject.other |
Calibration |
en |
dc.subject.other |
Imaging systems |
en |
dc.subject.other |
Photogrammetry |
en |
dc.subject.other |
Skin |
en |
dc.subject.other |
Surface measurement |
en |
dc.subject.other |
Three dimensional |
en |
dc.subject.other |
Tumors |
en |
dc.subject.other |
Conjugate points |
en |
dc.subject.other |
Skin tumour imaging |
en |
dc.subject.other |
Small object imaging |
en |
dc.subject.other |
Structured light |
en |
dc.subject.other |
Computer vision |
en |
dc.subject.other |
animal model |
en |
dc.subject.other |
article |
en |
dc.subject.other |
binocular vision |
en |
dc.subject.other |
computer program |
en |
dc.subject.other |
controlled study |
en |
dc.subject.other |
image processing |
en |
dc.subject.other |
imaging system |
en |
dc.subject.other |
mathematical model |
en |
dc.subject.other |
mouse |
en |
dc.subject.other |
nonhuman |
en |
dc.subject.other |
photodynamic therapy |
en |
dc.subject.other |
priority journal |
en |
dc.subject.other |
skin tumor |
en |
dc.subject.other |
three dimensional imaging |
en |
dc.subject.other |
Calibration |
en |
dc.subject.other |
Surface Properties |
en |
dc.subject.other |
Vision, Binocular |
en |
dc.title |
A binocular machine vision system for three-dimensional surface measurement of small objects |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/j.compmedimag.2007.07.005 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/j.compmedimag.2007.07.005 |
en |
heal.language |
English |
en |
heal.publicationDate |
2007 |
en |
heal.abstract |
Rendering three-dimensional information of a scene from optical measurements is very important for a wide variety of applications. However, computer vision advancements have not yet achieved the accurate three-dimensional reconstruction of objects smaller than I cm diameter. This paper describes the development of a novel volumetric method for small objects, using a binocular machine vision system. The achieved precision is high, providing a standard deviation of 0.04 mm. The robustness, of the system, issues from the lab prototype imaging system with the crucial Z-axis movement without the need of further calibration and the fully automated volumetric algorithms. (c) 2007 Elsevier Ltd. All rights reserved. |
en |
heal.publisher |
PERGAMON-ELSEVIER SCIENCE LTD |
en |
heal.journalName |
Computerized Medical Imaging and Graphics |
en |
dc.identifier.doi |
10.1016/j.compmedimag.2007.07.005 |
en |
dc.identifier.isi |
ISI:000251486400005 |
en |
dc.identifier.volume |
31 |
en |
dc.identifier.issue |
8 |
en |
dc.identifier.spage |
625 |
en |
dc.identifier.epage |
637 |
en |