Penerapan Metode Distance Transform Pada Linear Discriminant Analysis Untuk Kemunculan Kulit Pada Deteksi Kulit

Muryan Awaludin, Romi Satria Wahono

Abstract


Deteksi kulit memainkan peranan penting dalam berbagai aplikasi pengolah citra, mulai dari deteksi wajah, pelacakan wajah, penyaringan konten  pornografi, berdasarkan sistem pencarian citra dan berbagai domain interaksi manusia dan komputer. Pendekatan informasi warna dapat mendeteksi warna kulit dengan baik menggunakan skin probability map (SPM) dengan aturan bayes. Namun SPM memiliki permasalahan dalam mendeteksi tekstur kulit. Linear discriminant analysis (LDA) merupakan algoritma ekstraksi fitur, dalam deteksi kulit digunakan untuk mengekstrak fitur tekstur kulit yang dapat menangani masalah SPM. Namun LDA memiliki permasalahan apabila digunakan untuk mengekstrak fitur tekstur kulit pada kernel yang berbeda. Distance transform (DT) merupakan  algoritma untuk menghitung jarak citra biner pada setiap pikel gambar dan fitur poin terdekatnya, DT merupakan algoritma yang dapat mengatasi masalah pada LDA. Kombinasi algoritma SPM, LDA dan DT diusulkan untuk memperbaiki performa dari kemunculan kulit pada deteksi kulit. Dataset pada metode yang diusulkan menggunakan IBTD dataset. Hasil dari metode yang diusulkan bahwa metode yang diusulkan menunjukan peningkatan akurasi deteksi kesalahan yang signifikan pada SPM dan LDA.

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References


Aibinu, a. M., Shafie, A. a., & Salami, M. J. E. (2012). Performance Analysis of ANN based YCbCr Skin Detection Algorithm. Procedia Engineering, 41(Iris), 1183–1189.

Amjad, a., Griffiths, A., & Patwary, M. N. (2012). Multiple face detection algorithm using colour skin modelling. IET Image Processing, 6(8), 1093–1101.

Arcelli, C., di Baja, G. S., & Serino, L. (2011). Distance-driven skeletonization in voxel images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(4), 709–20.

Bouzerdoum, S. lam P. D. C. A. (2003). Adaptive Skin Segmentation In Color Images. Proceedings of IEEE ICASSP, 353–356.

Cheng, Y., Feng, Z., Weng, F., & Lee, C. (2012). Enhancing Model-based Skin Color Detection : from Low-level rgb Features to High-level Discriminative Binary-class Features School of Ece. ICASSP IEEE, 1401–1404.

Clair L. Alston, K. L. M. and A. N. P. (2013). Case studies in bayesian statistics. (A. L.Alston, Clair; L.Mengersen, Kerrie; N.Pettitt, Ed.). Wikey.

Fekry, S., Elsadek, A., Ali, H. F., & Ziedan, I. E. (2011). High Precision Face Detection and Recognition based on Fusion of Discernment Techniques. ICGST International Journal on Graphics Vision and Image Processing (gvip), 11(2), 31–39.

Guerrero-Curieses, a, Rojo-Álvarez, J. L., Conde-Pardo, P., Landesa-Vázquez, I., Ramos-López, J., & Alba-Castro, J. L. (2009). On the Performance of Kernel Methods for Skin Color Segmentation. EURASIP Journal on Advances in Signal Processing, 2009(1), 856039.

Hsu, R., Member, S., & Abdel-mottaleb, M. (2002). Face Detection in Color Images. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 24(5), 1–23.

Jiang, Z., Yao, M., & Jiang, W. (2007). Skin Detection Using Color, Texture and Space Information. Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 366–370.

Jie, Y., Xufeng, L., Yitan, Z., & Zhonglong, Z. (2008). A face detection and recognition system in color image series. Mathematics and Computers in Simulation, 77(5-6), 531–539.

Kakumanu, P., Makrogiannis, S., & Bourbakis, N. (2007). A survey of skin-color modeling and detection methods. Pattern Recognition, 40(3), 1106–1122.

Kawulok, M., Kawulok, J., & Nalepa, J. (2013). Spatial-based skin detection using discriminative skin-presence features. Pattern Recognition Letters.

Kawulok, M., Kawulok, J., & Smolka, B. (2011). Image colorization using discriminative textural features. IAPR Conference on Machine Vision And Aoolications, 198–201.

Kim, T.-K., Stenger, B., Kittler, J., & Cipolla, R. (2010). Incremental Linear Discriminant Analysis Using Sufficient Spanning Sets and Its Applications. International Journal of Computer Vision, 91(2), 216–232.

Lagerstrom, R., & Buckley, M. (2012). An attribute weighted distance transform. Pattern Recognition Letters, 33(16), 2141–2147.

Lee, J.-S., Kuo, Y.-M., Chung, P.-C., & Chen, E.-L. (2007). Naked image detection based on adaptive and extensible skin color model. Pattern Recognition, 40(8), 2261–2270.

Lu, G.-F., Zou, J., & Wang, Y. (2012). Incremental complete LDA for face recognition. Pattern Recognition, 45(7), 2510–2521.

Michal Kawulok, Jolanta Kawuloky, Jakub Nalepa, M. P. (2013). Skin

Detection Using Spatial Analysis With Adaptive Seed. ICIP IEEE, 978-1-4799, 3720–3724.

Powar, V. (2011). Skin Detection in YCbCr Color Space.

International Journal of Computer Applications in Technology, 1–4.

Ruiz-del-Solar, J., & Verschae, R. (2004). Skin detection using neighborhood information. Automatic Face and Gesture ….

Sanchez-Cuevas, M. C., Aguilar-Ponce, R. M., & Tecpanecatl-Xihuitl, J. L. (2013). A Comparison of Color Models for Color Face Segmentation. Procedia Technology, 7(444), 134–141.

Tan, W. R., Chan, C. S., Yogarajah, P., & Condell, J. (2012). Human Skin Detection. IEEE Transaction on Industrial Informatics, 8(1), 138–147.

Taqa, A. Y., & Jalab, H. A. (2010). Increasing the reliability of skin detectors. Academic Journals, 5(17), 2480–2490.

Wang, J., & Yagi, Y. (2013). Shape priors extraction and application for geodesic distance transforms in images and videos. Pattern Recognition Letters, 34(12), 1386–1393. doi:10.1016/j.patrec.2013.04.008

Wang, Y.-M., & Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling, 51(1-2), 1–12.

Xu, Y.-J., & Da, Q.-L. (2010). Standard and mean deviation methods for linguistic group decision making and their applications. Expert Systems with Applications, 37(8), 5905–5912.

Yahya, A. A., Tan, J., & Hu, M. (2013). A Novel Model of Image Segmentation Based onWatershed Algorithm. Advances in Multimedia, 2013.

Yao, C., Lu, Z., Li, J., Xu, Y., & Han, J. (2014). A subset method for improving Linear Discriminant Analysis. Neurocomputing, 138, 310–315.

Zaidan, a. a., Ahmad, N. N., Abdul Karim, H., Larbani, M., Zaidan, B. B., & Sali, A. (2014). Image skin segmentation based on multi-agent learning Bayesian and neural network. Engineering Applications of Artificial Intelligence, 32, 136–150.


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