Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro
Vol 8 No 2 (2021): DIELEKTRIKA

MENENTUKAN LUAS OBJEK CITRA DENGAN TEKNIK SEGMENTASI BERDASARKAN WARNA PADA RUANG WARNA HSV

Muhammad Oni (Jurusan Teknik Elektro, Universitas Mataram)
Bulkis Kanata (Unknown)
Dwi Ratnasari (Unknown)



Article Info

Publish Date
30 Aug 2021

Abstract

The color image segmentation technique is one of many approaches used to extract information from an image. In this study, the calculation of the image object area was carried out using the color image segmentation technique in HSV color space. There are three objects that the area has calculated those are triangle, square, and circle. The object area calculated by multiply the image background original area with the proportion difference between the total number of object pixels and the sum of background pixels. The threshold value for the HSV filter was determined using two different approaches, which are the trial-and-error method and the multi-otsu thresholding method. The result of this study shows that the object area calculation system works pretty well. Using the trial-and-error method, the difference percentage mean of all objects is 1,35%, meanwhile, using the multi-otsu thresholding method is 1,31%. Keywords: Color segmentation, hsv, multi-otsu, object area.

Copyrights © 2021






Journal Info

Abbrev

dielektrika

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering Energy

Description

The Aims and scope of the Dielektrika are Power System, Telecommunication, electronics and computer of informatics, including: Electrical Power Systems, High Voltage Technology, Renewable Energy, Power Electronics, Sensing and Automation, Telecommunication system and technique, Signal Processing, ...