The Effect of Peak Signal to Noise Ratio (PSNR) Values on Object Detection Accuracy in Viola Jones Method
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Sajati, H., (2018), Analisis Kualitas Perbaikan Citra Menggunakan Metode Median Filter Dengan Penyeleksian Nilai Pixel, Jurnal Ilmiah Angkasa Vol. 10, No. 1, P-ISSN 2085-9503, E-ISSN 2581-1355
Roopaei, M., Eghbal, M., Shadaram, M., & Agaian, S. (2016). Noise-Free Rule-Based Fuzzy Image Enhancement. Electronic Imaging, 2016(13), 1-5. doi: 10.2352/issn.2470-1173.2016.13.iqsp-225
Abraham, V.A., & Priya, S., (2017). FR IQA Classification and Evaluation, International Journal of Innovative Research in Science, Engineering and Technology, ISSN (Online) : 2319 - 8753, ISSN (Print) : 2347 – 6710
Purwanto, P., Dirgantoro, B., & Jati, A. N. (2015). Implementasi Face Identification Dan Face Recognition Pada Kamera Pengawas Sebagai Pendeteksi Bahaya. Universitas Telkom
Viola, P., & Jones, M. Rapid (2001). Object Detection Using A Boosted Cascade Of Simple Features. Proceedings Of The 2001 IEEE Computer Society Conference On Computer Vision And Pattern Recognition. CVPR 2001. doi: 10.1109/cvpr.2001.990517
Pavani, S., Delgado, D., & Frangi, A. (2010). Haar-like features with optimally weighted rectangles for rapid object detection. Pattern Recognition, 43(1), 160-172. doi: 10.1016/j.patcog.2009.05.011
Kusumaningrum, A. (2017). Pengaruh Jumlah File Training Terhadap Akurasi Pendeteksian Obyek Pada Metode Viola Jones. Conference SENATIK STT Adisutjipto Yogyakarta, 3. doi: 10.28989/senatik.v3i0.99
Khalid, M., Pal, N., & Arora, K. (2014). Clustering of Image Data Using K-Means and Fuzzy K-Means. International Journal Of Advanced Computer Science And Applications, 5(7). doi: 10.14569/ijacsa.2014.050724
DOI: http://dx.doi.org/10.28989/senatik.v4i0.139
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Conference SENATIK P-ISSN :2337-3881 and E-ISSN : 2528-1666
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