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Detail
BukuThe Color Similarity Search System Using K Nearest Neighbor Algorithm
Bibliografi
Author: (2013042051), Kevin ; Manalu, Ferry Rippun Gideon (Advisor)
Topik: Color Blindness; Computer Vision; K Nearest Neighbor Algorithm; Clothes; Similar Color
Bahasa: (ID )    
Penerbit: Program Studi Teknik Elektro Fakultas Teknik Unika Atma Jaya     Tempat Terbit: Jakarta    Tahun Terbit: 2017    
Jenis: Theses - Undergraduate Thesis
Fulltext: Kevin's Undergraduate Theses.pdf (1.37MB; 9 download)
Ketersediaan
  • Perpustakaan Pusat (Semanggi)
    • Nomor Panggil: FTE-2390
    • Non-tandon: tidak ada
    • Tandon: 1
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Abstract
10% of male population in the world are people with color blindness. Some activities are hard for people with color blindness. For example, choosing color of clothes to attend some events. They will make mistake by wearing wrong color clothes. This program will help them choose the right color of their clothes and also suggest them a pair of matching tops and pants. This research uses emgu CV library for image processing and K Nearest Neighbor algorithm for suggest clothes and pants. Photo of clothes or pants will be taken in real time using webcam. Then stored in the database. After there is a selected color, then all the data contained in the database will be compared with it. Which has the smallest value difference will be shown in the suggestion. In this system, the program uses laplacian filter also h and s values in polar coordinates.
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