Abstract
A mathematical model of digital X-ray image of the test object is presented for the case when the main type of image distortion is the noise due to the quantum nature of the radiation. The new multilevel cumulative sums algorithm for automatic image segmentation is proposed. The algorithm is based on the edge detection of the segments homogeneous in brightness along the image rows and columns by repeatedly applying the cumulative sums procedure. The efficiency of the proposed algorithm is compared with the known threshold and Leader algorithms. The comparison was performed on simulated images as well as on the X-ray image of a weld. The mean square errors for the new algorithm were about two and three times less than for the threshold and Leader algorithms, correspondingly.
| Original language | English |
|---|---|
| Article number | 78 |
| Journal | Journal of Nondestructive Evaluation |
| Volume | 38 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 Sep 2019 |
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Keywords
- Digital X-ray image
- Inspected object
- Mathematical model
- Segmentation algorithms
ASJC Scopus subject areas
- Mechanics of Materials
- Mechanical Engineering
Cite this
A Cumulative Sums Algorithm for Segmentation of Digital X-ray Images. / Vorobeychikov, S. E.; Chakhlov, S. V.; Udod, V. A.
In: Journal of Nondestructive Evaluation, Vol. 38, No. 3, 78, 01.09.2019.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A Cumulative Sums Algorithm for Segmentation of Digital X-ray Images
AU - Vorobeychikov, S. E.
AU - Chakhlov, S. V.
AU - Udod, V. A.
PY - 2019/9/1
Y1 - 2019/9/1
N2 - A mathematical model of digital X-ray image of the test object is presented for the case when the main type of image distortion is the noise due to the quantum nature of the radiation. The new multilevel cumulative sums algorithm for automatic image segmentation is proposed. The algorithm is based on the edge detection of the segments homogeneous in brightness along the image rows and columns by repeatedly applying the cumulative sums procedure. The efficiency of the proposed algorithm is compared with the known threshold and Leader algorithms. The comparison was performed on simulated images as well as on the X-ray image of a weld. The mean square errors for the new algorithm were about two and three times less than for the threshold and Leader algorithms, correspondingly.
AB - A mathematical model of digital X-ray image of the test object is presented for the case when the main type of image distortion is the noise due to the quantum nature of the radiation. The new multilevel cumulative sums algorithm for automatic image segmentation is proposed. The algorithm is based on the edge detection of the segments homogeneous in brightness along the image rows and columns by repeatedly applying the cumulative sums procedure. The efficiency of the proposed algorithm is compared with the known threshold and Leader algorithms. The comparison was performed on simulated images as well as on the X-ray image of a weld. The mean square errors for the new algorithm were about two and three times less than for the threshold and Leader algorithms, correspondingly.
KW - Digital X-ray image
KW - Inspected object
KW - Mathematical model
KW - Segmentation algorithms
UR - http://www.scopus.com/inward/record.url?scp=85070936222&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85070936222&partnerID=8YFLogxK
U2 - 10.1007/s10921-019-0616-3
DO - 10.1007/s10921-019-0616-3
M3 - Article
AN - SCOPUS:85070936222
VL - 38
JO - Journal of Nondestructive Evaluation
JF - Journal of Nondestructive Evaluation
SN - 0195-9298
IS - 3
M1 - 78
ER -