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All Journal INFORMAL: Informatics Journal International Journal of New Media Technology Journal of Applied Data Sciences
Maria Irmina Prasetiyowati
ICT Faculty of Universitas Multimedia Nusantara
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Journal : INFORMAL: Informatics Journal

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Ekstraksi Fitur pada File Gambar dengan Metode Fast Fourier Transform Prasetiyowati, Maria Irmina
INFORMAL: Informatics Journal Vol 9 No 1 (2024): INFORMATICS JOURNAL (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i1.44471

Abstract

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.
Co-Authors Gata, Windu Harianto, Sony Herkristito, Atanasius Raditya Kurniawan, Vincentius MUHAMMAD HARIS