Abstract
X-ray computed tomography is a unique non-destructive technique which is suitable for dimensional measurements and quality testing. X-ray tomography is applied widely not only in the traditional medical area, but in natural science and engineering fields. The result of tomography is a volumetric map of attenuation coefficients which has, in fact, a limited practical sense. Usually, segmentation that converts the map into binary objects by means of threshold value is applied. In this paper we discuss the some key features of segmentation applied to a test object which is gravel composed of unconsolidated rock fragments. Gravel appeared to be a challenging object for segmentation and image recognition. One of effective approach for image processing of tomographic data, among many possible ones, is presented in this paper.
| Original language | English |
|---|---|
| Article number | 012035 |
| Journal | Journal of Physics: Conference Series |
| Volume | 671 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 18 Jan 2016 |
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ASJC Scopus subject areas
- Physics and Astronomy(all)
Cite this
Problems of objects identification in three-dimensional X-ray tomography. / Mamyrbayev, T.; Batranin, A.; Ivashkov, D.
In: Journal of Physics: Conference Series, Vol. 671, No. 1, 012035, 18.01.2016.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Problems of objects identification in three-dimensional X-ray tomography
AU - Mamyrbayev, T.
AU - Batranin, A.
AU - Ivashkov, D.
PY - 2016/1/18
Y1 - 2016/1/18
N2 - X-ray computed tomography is a unique non-destructive technique which is suitable for dimensional measurements and quality testing. X-ray tomography is applied widely not only in the traditional medical area, but in natural science and engineering fields. The result of tomography is a volumetric map of attenuation coefficients which has, in fact, a limited practical sense. Usually, segmentation that converts the map into binary objects by means of threshold value is applied. In this paper we discuss the some key features of segmentation applied to a test object which is gravel composed of unconsolidated rock fragments. Gravel appeared to be a challenging object for segmentation and image recognition. One of effective approach for image processing of tomographic data, among many possible ones, is presented in this paper.
AB - X-ray computed tomography is a unique non-destructive technique which is suitable for dimensional measurements and quality testing. X-ray tomography is applied widely not only in the traditional medical area, but in natural science and engineering fields. The result of tomography is a volumetric map of attenuation coefficients which has, in fact, a limited practical sense. Usually, segmentation that converts the map into binary objects by means of threshold value is applied. In this paper we discuss the some key features of segmentation applied to a test object which is gravel composed of unconsolidated rock fragments. Gravel appeared to be a challenging object for segmentation and image recognition. One of effective approach for image processing of tomographic data, among many possible ones, is presented in this paper.
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UR - http://www.scopus.com/inward/citedby.url?scp=84960153419&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/671/1/012035
DO - 10.1088/1742-6596/671/1/012035
M3 - Article
AN - SCOPUS:84960153419
VL - 671
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 1
M1 - 012035
ER -