JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Vol 7 No 3 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)

Deteksi objek manusia pada image dengan metode Thinning Berdasarkan local maxima

Mawaddah Harahap (Unknown)
Erik Sartana Agustia (Universitas Prima Indonesia)
Muhammad Marsyal Lubis (Universitas Prima Indonesia)
Apriandi Apriandi (Universitas Prima Indonesia)
Alvin Anggara (Universitas Prima Indonesia)



Article Info

Publish Date
18 Dec 2020

Abstract

The aim to detection human object is to identifying human object in image. There is a change human object affected by internal factors like face expression, body shape, skin color, and movement body and affected by external factor likes lighting condition, background which varies and corner taking image. The detect human object towards some condition likes obtained on image which containts more than one object, and object size which varies in image. The research aim to analizying and designing a application for detect human object in image. Thinnging algorithm used to introduction pattern human object from a image for another image in order to equalize object pixel to detection maximum. The local maxima used as function for maximize searching pixel on object in image for make it easier and faster to detect image

Copyrights © 2020






Journal Info

Abbrev

jatisi

Publisher

Subject

Computer Science & IT

Description

JATISI bekerja sama dengan IndoCEISS dalam pengelolaannya. IndoCEISS merupakan wadah bagi para ilmuwan, praktisi, pendidik, dan penggemar dalam bidang komputer, elektronika, dan instrumentasi yang menaruh minat untuk memajukan bidang tersebut di Indonesia. JATISI diterbitkan 2 kali dalam setahun ...