| Issue |
MATEC Web of Conferences
Volume 58, 2016
The 3rd Bali International Seminar on Science & Technology (BISSTECH 2015)
|
|
|---|---|---|
| Article Number | 03012 | |
| Number of page(s) | 5 | |
| Section | Information Technology and Information Systems | |
| DOI | https://doi.org/10.1051/matecconf/20165803012 | |
| Published online | 23 May 2016 | |
Teratozoospermia Classification Based on the Shape of Sperm Head Using OTSU Threshold and Decision Tree
1 Electrical Engineering, Institut Teknologi Sepuluh November Surabaya
2 University of Pembangunan Nasional “Veteran” East Java, Indonesia
3 Dep. of Multimedia and Network Eng., Institut Teknologi Sepuluh November Surabaya
4 Electrical Engineering, Institut Teknologi Sepuluh November Surabaya
Email: research.sperm@gmail.com
Teratozoospermia is one of the results of expert analysis of male infertility, by conducting lab tests microscopically to determine the morphology of spermatozoa, one of which is the normal and abnormal form of the head of spermatozoa. The laboratory test results are in the form of a complete image of spermatozoa. In this study, the shape of the head of spermatozoa was taken from a WHO standards book. The pictures taken had a fairly clear imaging and still had noise, thus to differentiate between the head of normal and abnormal spermatozoa, several processes need to be performed, which include: a pre-process or image adjusting, a threshold segmentation process using Otsu threshold method, and a classification process using a decision tree. Training and test data are presented in stages, from 5 to 20 data. Test results of using Otsu segmentation and a decision tree produced different errors in each level of training data, which were 70%, 75%, and 80% for training data of size 5×2, 10×2, and 20×2, respectively, with an average error of 75%. Thus, this study of using Otsu threshold segmentation and a Decision Tree can classify the form of the head of spermatozoa as abnormal or Normal
Key words: Teratozoospermia / Classification / sperm Head / Otsu / Decision Tree
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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