DETEKSI JERAWAT PADA WAJAH MENGGUNAKAN METODE VIOLA JONES

Compiler

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Field Value
 
Title DETEKSI JERAWAT PADA WAJAH MENGGUNAKAN METODE VIOLA JONES
 
Creator Sajati, Haruno
Indrianingsih, Yuliani
Candra Wulan, Puspa Ira Dewi
 
Subject
Acne, Viola Jones, Integral Image, Adaboost Machine Learning, Cascade Classifier.
 
Description Acne is a skin disease that most often grow in the face and very disruptive to affect the appearance of a person's face. Viola Jones is one method to help detect acne so someone get information about the state of the face and immediately overcome. Viola Jones Method has three main processes integral image is used to determine whether there is a feature haar particular in an image, the method adaboost machine learning is used to select features haar specific that will be used to adjust the threshold value, and a cascade classifier as the classification of the final determining regions the face in the picture. Testing of 30 samples, the results obtained showed that the method is less accurate Viola Jones is used as a method of detection of acne with results average 25 % the percentage of common acne, blackheads 0 % and 45% of cystic acne. The number of samples used to create xml greatly affect the results of detection.
 
Publisher Sekolah Tinggi Teknologi Adisutjipto Yogyakarta
 
Contributor
 
Date 2016-05-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion


 
Format application/pdf
 
Identifier http://ejournals.stta.ac.id/index.php/compiler/article/view/103
10.28989/compiler.v5i1.103
 
Source Compiler; Vol 5, No 1 (2016): Mei
2549-2403
2252-3839
10.28989/compiler.v5i1
 
Language ind
 
Relation http://ejournals.stta.ac.id/index.php/compiler/article/view/103/101
 
Coverage


 
Rights Copyright (c) 2017 Compiler
 

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