Academic Journal
Ekstraksi Fitur pada File Gambar dengan Metode Fast Fourier Transform
العنوان: | Ekstraksi Fitur pada File Gambar dengan Metode Fast Fourier Transform |
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المؤلفون: | Prasetiyowati, Maria Irmina |
المصدر: | INFORMAL: Informatics Journal; Vol 9 No 1 (2024): INFORMATICS JOURNAL (INFORMAL); 33-38 ; 2503-250X |
بيانات النشر: | Faculty of Computer Science, University of Jember |
سنة النشر: | 2024 |
المجموعة: | Jurnal University of Jember |
الوصف: | There are several methods for performing feature extraction, one of which is the Fast Fourier Transform (FFT). FFT is an effective way to convert signals or time series data to the frequency domain. This study uses the FFT method for image data. Image data is transformed using FFT and returned using the Inverse Fast Fourier Transform (IFFT). From the results of the feature extraction test on nine image files, it was found that 78% of the image data experienced a decrease in size, 11% of the images had a fixed size, and 11% of the image data experienced an increase in size. |
نوع الوثيقة: | article in journal/newspaper |
وصف الملف: | application/pdf |
اللغة: | English |
Relation: | https://jurnal.unej.ac.id/index.php/INFORMAL/article/view/44471/14589; https://jurnal.unej.ac.id/index.php/INFORMAL/article/view/44471 |
DOI: | 10.19184/isj.v9i1.44471 |
الاتاحة: | https://jurnal.unej.ac.id/index.php/INFORMAL/article/view/44471 https://doi.org/10.19184/isj.v9i1.44471 |
Rights: | Copyright (c) 2024 INFORMAL: Informatics Journal |
رقم الانضمام: | edsbas.1D7E35C6 |
قاعدة البيانات: | BASE |
DOI: | 10.19184/isj.v9i1.44471 |
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