Sistem Pendeteksian Keserasian Warna Kulit dan Busana Secara Otomatis Untuk Jenis Kelamin Perempuan Berbasis Image Processing

Main Article Content

Meza Silvana
Rahmadi Kurnia

Keywords

Abstract

Compatibility of the clothes become a necessity that can not be avoided by everyone, because accuracy in choosing the color of the clothes will be very supportive of woman's appearance. So far, the research has been done only discuss about skin type or the grouping of clothing only, and compatibility of clothing color is also done manually estimates that are relative. Therefore, this study was designed to make  a priority fashion color for each type of skin color automatically based on skin color flexibility. The system will determine the priority of the right clothing colors for certain skin types based on a combination of several colors clothes. The testing process is done for each color of clothing to see how far each level according to the fashion color of the skin color. From the results, six (6 ) elected fashion color with skin color, and the color matching chart rate on the test results chart system has approached the sample data in the database system.

Keywords: Skin color, Compatibility and Cloth

 

Abstrak

Keserasian dalam berpakaian menjadi kebutuhan yang tidak bisa dihindari oleh setiap orang, karena ketepatan dalam memilih warna pakaian akan sangat menunjang penampilan seseorang wanita. Sejauh ini penelitian yang telah dilakukan hanya membahas tentang pengelompokan jenis kulit saja ataupun busana saja, dan keserasian warna pakaian juga dilakukan dengan perkiraan manual yang sifatnya relatif. Oleh karena itu, penelitian ini dirancang untuk membuat prioritas warna busana untuk masing-masing jenis warna kulit dengan memperhitungkan fleksibilitas warna kulit dengan warna busana secara otomatis. Sistem akan menentukan prioritas warna busana yang tepat untuk jenis kulit tertentu berdasarkan kombinasi dari beberapa warna pakaian. Proses pengujian dilakukan terhadap masing-masing warna busana untuk melihat seberapa jauh tingkat kesesuaian masing-masing warna busana tersebut terhadap warna kulit. Dari hasil penelitian didapatkan 6 (enam)  warna terpilih keserasiannya dengan warna kulit, dan grafik tingkat kecocokan warna pada pengujian sistem telah mendekati hasil grafik data sampel pada database sistem.

Kata Kunci : Warna kulit,  Keserasian dan Busana

  

References

[1] Murinto, dkk., “Deteksi Jenis Warna Kulit Wajah Untuk Klasifikasi Ras Manusia Menggunakan Transformasi Warna”. Program Studi Teknik Informatika. Universitas Ahmad Dahlan. Yogyakarta.
[2] Rudra P.K Poudel et al., “Region Based Skin Color Detection,” Proceeding International Journal Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2012.
[3] B Zhang, “Research on Numerical Analysis for Color Matching in Textile Dyeing Based on Least Square Fitting,” IEEE International Conference on Intelligence and Security Informatics (ISI),2011.
[4] YongY.T. et al., “A New and Efficient Intelligent Collaboration Scheme for Fashion Design,” IEEE Transactions on System, MAN and Cybernetics-Part A: System and Human, Vol. 41, No.3, 2011.
[5] Y Yong, et al. “A New and efficient Intelligent Collaboration Sheme for Fashion Design”. IEEE Transactions on System, MAN and Cybernetics-Part A: System and Human, Vol. 41, No.3, 2011.
[6] L C Wang, et al. “Formalization of Fashion Sensory Data Based onFuzzy Set Theory”. Fourth International Conference on Natural Camputation.
[7] T. Sutoyo, dkk., “Kecerdasan Buatan,” Andi ,Yogyakarta, 2011.
[8] M S Iraji, A Tosinia. “ Skin Color segmentation in YCbCr Color Space with Adaptive Fuzzy Neural Network (ANFIS)”. I J Image, graphics and signal Processing. Vol.4 Hal 35-41. 2012
[9] Phung SL, et al. “Skin Segmentation Using Color Pixel Classification : Analysis and Comparison. 2005
[10] R. Munir., “Pengolahan Citra Digital dengan Pendekatan Algoritmik,” Informatika, Bandung, 2004.
[11] E. Prasetyo, “ Pengolahan Citra Digital dan Aplikasinya Menggunakan MATLAB”. Andi Yogyakarta, 2011.
[12] A.K. Jain, “Fundamental of Digital Image Processing. University of California. Prentice Hall Int’l. 1989.
[13] http://www.yes24.co.id/NineView/ 3524/tips-memilih-baju-fashion-wanita-sesuai-warna-kulit.html.