Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal INFOKUM
Reza Muhammad
Department of Computer Science, Faculty of Science and Technology State Islamic University of North Sumatera Medan
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Edge Detection To Detect Broken Bone On X-Ray Images Using Kirsch Method Mhd Furqan; Rakhmat Kurniawan; Abdul Halim Hasugian; Reza Muhammad
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (329.995 KB)

Abstract

Bone is the most important part of the human body and not a few people who have broken bones caused by accidents, neglect and because of age. One of the methods used to identify broken bones is to read the x-ray images manually. Manual checking takes longer and allows mistakes in making decisions when doing a manual check. What's more in reading an x-ray image requires a strong background light (as lighting) to make objects in the X-ray image appear clearer, so we need a method that can facilitate the orthopedic doctor in identifying broken bones. The method proposed in this study is edge detection using the kirsch method. Edge detection aims to improve the appearance of margins, boundaries or objects in the image. The Kirsch method will detect the edges of the eight cardinal directions, namely east, northeast, north, west, northwest, southwest, south and southeast, by convoluting the image using eight kernels. From the results of testing with these methods each cardinal direction has different results. In this study the best results from the eight cardinal directions are the southeast.
Co-Authors Abdul Halim Hasugian Mhd Furqan Rakhmat Kurniawan R