Academic Journal

Ekstraksi Fitur pada File Gambar dengan Metode Fast Fourier Transform

التفاصيل البيبلوغرافية
العنوان: Ekstraksi Fitur pada File Gambar dengan Metode Fast Fourier Transform
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