Methods for recovering the dislocations contour line of gallium arsenide wafer of digital image
DOI:
https://doi.org/10.15587/1729-4061.2015.43326Keywords:
dislocation, etching pits, contour line recovering, gallium arsenide, digital imageAbstract
The production volume growth of high-speed semiconductor devices based on gallium arsenide determines the necessity of semiconductor wafers dislocations control effectiveness increase.
In the article the methods of etching pits contour dislocation of gallium arsenide wafers recover have been suggested. Pretreatment performs binarization of the plate surface images highlighting the contours of the present parts of the image. The improved method of the width of the contour line determination defines the width of the line bounds of etch pits in suspected dislocation taking into consideration the variability of their reflection in the binarized image. The current width of the contour line is compared to the standard line width of dislocation contour.
The recovering method of contour line determines the suggested bounds of dislocations monitoring changes in the direction of the dislocation contour line in the plane of the plate image based on the value of the dislocation contour line width. The recovering method of contour line branching takes into account various options of adjacency line and determines the direction of further recovering of etch pits dislocation contour lines. It has been given a stepwise description of the methods.
References
- Samoilov, A. N. (2013). Metody poluchenija konturov na cifrovyh rastrovyh izobrazhenijah s nechjotkim otobrazheniem dislokacij v plastinah GaAs. Kompiuterno-іntegrovanі tehnologії: osvіta, nauka, virobnictvo, 63–69.
- Samoilov, A. N. (2014). Issledovanie mediannoj filtracii binarizovannyh konturov dislokacij plastiny GaAs na rastrovyh cifrovyh izobrazhenijah. Materіaly І Vseukraїns'koї naukovo-praktichnoї konferencії «ІT-Perspektiva», 10–11.
- Samoilov, A. N. (2012). Sravnenie effektivnosti globalnyh metodov binarizacii rastrovyh cvetnyh izobrazhenij. Vestnik KrNU imeni Mihaila Ostrogradskogo, 4 (75), 49–54.
- Samoilov, A. N., Shevchenko, I. V. (2013). Metod obnaruzhenija linij konturov v jarkostnyh perepadah predpolagaemyh granej binarizovannogo izobrazhenija sledov dislokacij na plastinah GaAs. Avtomatizirovannye sistemy upravlenija i pribory avtomatiki, 165, 22–27.
- Smith, S. M., Brady, J. M. (1997). SUSAN – A new approach to low level image processing. International Journal of Computer Vision, 34, 45–78.
- Rosten, E., Drummond, T. (2006). Machine learning for high-speed corner detection. Proceedings of the European Conference on Computer Vision, 430–443. doi: 10.1007/11744023_34
- Harris, C., Stephens, M. (1988). A combined corner and edge detector. Alvey Vision Conference, 147–151. doi: 10.5244/c.2.23
- Schmid, C., Mohr, R., Bauckhage, C. (1998). Comparing and evaluating interest points. Proceedings of the International Conference on Computer Vision, 230–235. doi: 10.1109/iccv.1998.710723
- Schmid, C., Mohr, R., Bauckhage, C. (2000). Evaluation of interest point detectors. International Journal of Computer Vision, 2, 151–172.
- Lowe, D. G. (2004). Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision, 60 (2), 91–110. doi: 10.1023/b:visi.0000029664.99615.94
- Bay, H., Tuytelaars, T., Van Gool, L. (2006). SURF: Speeded up robust features H. Bay. Proceedings of the European Conference on Computer Vision, 404–417. doi: 10.1007/11744023_32
- Ablamejko, S. V., Lagunovskij, D. M. (2000). Obrabotka izobrazhenij: tehnologija, metody, primenenie. Minsk: Amalfeja, 304.
- Duda, R., Hart, H. (1973). Pattern classification and scene analysis. New York: John Wiley & Sons, 507.
- Freeman, H., Davis, L. S. (1977). A corner finding algorithm for chain coded curves. IEEE Transactions on Computers, 26 (3), 297–303. doi: 10.1109/tc.1977.1674825
- Bribiesca, E., Guzman, A. (1978). Shape description and shape similarity for two dimensional regions. Paper presented at the 41h International Conference on Pattern Recognition, Kyoto, Japan.
- Gonzalez, R., Woods, R. (2002). Digital image processing. Prentice Hall: Pearson Education, 616.
- Epshtein, B. (2009). Detecting Text in Natural Scenes with Stroke Width Transform. Microsoft Corporation. Available at: http://research.microsoft.com/pubs/149305/1509.pdf (Last accessed: 23.12.12).
- Pratt, W. (1978). Digital Image Processing. New York: John Wiley & Sons, 781.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2015 Андрей Николаевич Самойлов, Игорь Васильевич Шевченко
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.