DEVI, FAUZIA NUR (2021) IMPLEMENTASI PENDETEKSI WAJAH PADA IMAGE ENHANCEMENT BRIGHTNESS DENGAN TEKNIK PENGOLAHAN CITRA MENGGUNAKAN METODE VIOLA JONES STUDI KASUS PADA WAJAH MAHASISWA UMP. Bachelor thesis, UNIVERSITAS MUHAMMADIYAH PURWOKERTO.
FAUZIA NUR DEVI COVER.pdf
Download (11MB)
FAUZIA NUR DEVI BAB I.pdf
Download (907kB)
FAUZIA NUR DEVI BAB II.pdf
Download (1MB)
FAUZIA NUR DEVI BAB III.pdf
Restricted to Registered users only
Download (1MB)
FAUZIA NUR DEVI BAB IV.pdf
Restricted to Registered users only
Download (2MB)
FAUZIA NUR DEVI BAB V.pdf
Restricted to Registered users only
Download (899kB)
FAUZIA NUR DEVI DAFTAR PUSTAKA.pdf
Download (901kB)
FAUZIA NUR DEVI LAMPIRAN.pdf
Restricted to Registered users only
Download (4MB)
Abstract
Enhancement is the process of improving image quality. In this study, the brightness enhancement of the normal image was converted into a brightness image. This research contains face detection using the Viola Jones method. This research uses image data as much as 20 jpg images, 5 jpeg images, and 5 png images. This method is the method most widely used to detect faces because it is known to have a fairly high accuracy. The Viola Jones method combines four main keys, namely Haar Like Feature, Integral Image, Adabost Learning, and Cascade Classifier. In this study also tested the image value of each image, testing the image value based on the normal image and image brightness. Based on the tests carried out on the face detector, the accuracy rate is 90.75%. As for the test result, the image value in one image almost has the same histogram value between the normal image and the image after brightness.
| Dosen Pembimbing: | WIJAYA, ERMADI SATRIYA | unspecified |
|---|---|
| Item Type: | Thesis (Bachelor) |
| Uncontrolled Keywords: | Face Detection, Viola Jones, Image, Image Value, Brightness. |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Tekniik Dan Sains > Teknik Informatika S1 |
| Depositing User: | wulan |
| Date Deposited: | 15 Aug 2022 04:11 |
| Last Modified: | 04 Jul 2024 03:00 |
| URI: | http://repository.ump.ac.id/id/eprint/13623 |
