Kusnadi, Adhi and Wella, Wella and Winantyo, Rangga and Pane, Ivransa Zuhdi (2019) Enhancing the Repeatability Quality of Feature Detector in Epipolar Geometry. Utopia y Praxis Latinoamericana, 24 (5). ISSN 1315-5216
Full text not available from this repository.Abstract
This study discusses evaluating the repeatability quality of feature detector algorithms for image key points in epipolar geometry. Although no one has been able to examine performance in this area; hence, the necessity of conducting research based on improvement. In our method, the image format is converted into YCbCr, using only the Y channel, which is then tested with a variety of threshold values, and Weiner algorithm was applied as noise removal. Therefore, to prove the effectiveness, a comparison is made with the test results before and after method implementation, thus, verifying the success of the technique applied.
| Item Type: | Article |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 11 Oct 2021 08:11 |
| Last Modified: | 11 Oct 2021 08:11 |
| URI: | https://kc.umn.ac.id/id/eprint/18620 |
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