SISTEM REKOMENDASI WARNA JILBAB UNTUK BAJU BERCORAK SECARA OTOMATIS BERBASIS IMAGE PROCESSING

Nina, Merina (2015) SISTEM REKOMENDASI WARNA JILBAB UNTUK BAJU BERCORAK SECARA OTOMATIS BERBASIS IMAGE PROCESSING. Diploma thesis, UNIVERSITAS ANDALAS.

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Abstract

Rapid technological developments make people want to be instant in they activity, including when choosing a pattern shirt color harmony. For some women choose matching hijab and pattern shirt is a difficult thing, cause confusion and put a lot of time. In this final project developed a system that can give recommend hijab color for pattern shirt automatically based on image processing. This system provides a choice of three colors with a matching hijab the pattern shirt, that there are second and third backup hijab if the first choice is not available.This system works based on the color space of the pattern shirt and hijab that has a regular value of the color space. Used color space is RGB, HIS, and YcbCr. The first sample for making of the pattern shirt system algorithm derived from observations of 200 people who wear the pattern shirt during working hours. For color matching hijab is obtained from the input of three designers and distributing questionnaires to 30 respondents. Determination of system harmonious is to test and deploy the system directly of 30 respondents. From the test results showed that first choice hijab getting harmonious value of 4.1 which includes a matching category, second choice hijab getting harmonious value is 4 includes a matching category, and the third choice hijab is 3.6 also includes a matching category. The test results of the system shows that the system have been going well with produces options matching hijab as hijab recommend for pattern shirt. Keywords: Harmony pattern shirt, Image Processing, RGB, HIS, YCbCr.

Item Type: Thesis (Diploma)
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Teknik > Elektro
Depositing User: Mr Fajrun RB
Date Deposited: 25 Jun 2016 00:15
Last Modified: 25 Jun 2016 00:16
URI: http://scholar.unand.ac.id/id/eprint/11317

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