Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Vol 4, No 2 (2023): Edisi April

Segmentasi Citra Luka Luar Berbasis Warna Menggunakan Teknik Active Contour

Syifa’ah Setya Mawarni (Universitas Ahmad Dahlan, Yogyakarta, Indonesia)
M Murinto (Universitas Ahmad Dahlan, Yogyakarta, Indonesia)
S Sunardi (Universitas Ahmad Dahlan, Yogyakarta, Indonesia)



Article Info

Publish Date
30 Apr 2023

Abstract

Wounds are often underestimated by many people because sometimes all they feel is a little sore and a little bleeding. Unknowingly, wounds can cause infection which causes swelling of the skin and requires long treatment for healing. The purpose of this research is to build educational media for external wound recognition by performing image segmentation in determining wound detection using Active Contour.In the image processing process, the pre-processing stage is carried out to improve the image by removing noise. The success of image recovery was measured using MSE and PSNR values which in this study resulted in MSE = 0.1495 and PSNR = 56.43 with Uniform noise identification and a median low-pass filter of 3x3. Image processing using the Acive Contour technique can segment external wound images well using Matlab 2018b as a tool for image processing and uses 278 wound datasets with details of 59 data on burns, 85 data on abrasions, 111 data on lacerations, and 23 data on stab wounds.

Copyrights © 2023






Journal Info

Abbrev

kesatria

Publisher

Subject

Computer Science & IT Control & Systems Engineering

Description

KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) adalah sebuah jurnal peer-review secara online yang diterbitkan bertujuan sebagai sebuah forum penerbitan tingkat nasional di Indonesia bagi para peneliti, profesional, Mahasiswa dan praktisi dari industri dalam bidang Ilmu ...