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All Journal International Journal of Artificial Intelligence Research Journal of Innovation Information Technology and Application (JINITA)
Setiawan Ardi Wijaya
Universitas Ahmad Dahlan
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Penerapan Metode Median Filtering untuk Optimasi Deteksi Wajah pada Foto Digital Sunardi Sunardi; Anton Yudhana; Setiawan Ardi Wijaya
Journal of Innovation Information Technology and Application (JINITA) Vol 4, No 1 (2022): JINITA, June 2022
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (771.371 KB) | DOI: 10.35970/jinita.v4i1.1214

Abstract

Face detection in digital photos aims to get the face area in the photo. Problems often occur when detecting faces, namely there is a lot of noise in digital photos so that it affects the detection process. Therefore, in this study apply the median filtering method to improve digital photos by reducing noise in the photos to be tested. The advantage of using this filter is to keep the edges smooth while reducing noise which aims to improve image quality. The ability of this method is measured using the parameters of Mean Square Error (MSE) and Peak Noise to Signal Ratio (PNSR). When the MSE value obtained is low and the PNSR value obtained is high, the results can be said to be good. The method used to detect faces in this research, viola-jones, was chosen because it is one of the face detection procedures with a high level of accuracy and good computational ability. The sample used in this study consisted of 10 digital photos taken using a Samsung A11 smartphone camera with a resolution of 13 mega pixels and 8 mega pixels in JPEG format. The results obtained in this study are the best error values in MSE 0.9517 and PSNR 24.2804. Based on these results, it can be concluded that the mean filtering method is feasible to be used in the case of face detection in this digital photo.
Face Detection Analysis of Digital Photos Using Mean Filtering Method Sunardi Sunardi; Anton Yudhana; Setiawan Ardi Wijaya
International Journal of Artificial Intelligence Research Vol 6, No 2 (2022): Desember 2022
Publisher : International Journal of Artificial Intelligence Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (467.748 KB) | DOI: 10.29099/ijair.v6i2.307

Abstract

Face detection in digital photos aims to get the face area in the digital photo. Usually, a lot of noise occurred when detecting faces in digital photos. This study applies the mean filtering method to improve digital photos by reducing noise. The accuracy of the mean filtering method is calculated using a confusion matrix, while the ability of this method is measured using the parameters of Mean Square Error (MSE) and Peak Noise to Signal Ratio (PNSR). Viola-Jones method was used to detect faces in this research. This method was chosen because it is one of the face detection procedures with high accuracy and good computational ability. Testing the mean filtering method obtained the lowest MSE of 9.33, while the highest PNSR of 14.37. The accuracy obtained by the mean filtering method using confusion is 90%. Based on these results, it can be concluded that the mean filtering method is feasible to be used in the case of face detection in digital photos.
Penerapan Metode Median Filtering untuk Optimasi Deteksi Wajah pada Foto Digital Sunardi; Anton Yudhana; Setiawan Ardi Wijaya
Journal of Innovation Information Technology and Application (JINITA) Vol 4 No 1 (2022): JINITA, June 2022
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (771.371 KB) | DOI: 10.35970/jinita.v4i1.1424

Abstract

Face detection in digital photos aims to get the face area in the photo. Problems often occur when detecting faces, namely there is a lot of noise in digital photos so that it affects the detection process. Therefore, in this study apply the median filtering method to improve digital photos by reducing noise in the photos to be tested. The advantage of using this filter is to keep the edges smooth while reducing noise which aims to improve image quality. The ability of this method is measured using the parameters of Mean Square Error (MSE) and Peak Noise to Signal Ratio (PNSR). When the MSE value obtained is low and the PNSR value obtained is high, the results can be said to be good. The method used to detect faces in this research, viola-jones, was chosen because it is one of the face detection procedures with a high level of accuracy and good computational ability. The sample used in this study consisted of 10 digital photos taken using a Samsung A11 smartphone camera with a resolution of 13 mega pixels and 8 mega pixels in JPEG format. The results obtained in this study are the best error values in MSE 0.9517 and PSNR 24.2804. Based on these results, it can be concluded that the mean filtering method is feasible to be used in the case of face detection in this digital photo
Co-Authors Anton Yudhana Anton Yudhana sunardi sunardi Sunardi, Sunardi