Jurnal Penelitian Enjiniring Fakultas Teknik Unhas
Vol 23 No 2 (2019)

Sistem Deteksi Lubang pada Pedesterian dengan Teknik Pengolahan Citra

Areni, Intan Sari (Unknown)
Amirullah, Indrabayu (Unknown)
Nurtanio, Ingrid (Unknown)
Bustamin, Anugrayani (Unknown)
Rifaldi, Ahmad (Unknown)



Article Info

Publish Date
30 Nov 2019

Abstract

Pothole Detection System on Pedesterian using Image Processing Techniques. The pedestrian areas in Indonesia are still far from optimal in facilitating the users or the pedestrians. Potholed pedestrian areas are found in many parts of the street. This issue can harm pedestrians, especially blind people. For this reason, research has been carried out to create a system that can detect and estimate hole distances by processing images using mono cameras that can help blind people. The methods used to detect holes are the Threshold + Blob Analysis method and the HSV method. The obtained results indicate the level of accuracy of hole detection using the Threshold + Blob Analysis method is better than the HSV method. The average accuracy level of Threshold + Blob Analysis is 88.91%, while for the HSV method is 86.82%.

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Journal Info

Abbrev

jpe

Publisher

Subject

Engineering

Description

Jurnal Penelitian Enjiniring (JPE) merupakan media publikasi ilmiah untuk hasil-hasil inovasi terkini dalam bidang kajian dan rekayasa ilmu pengetahuan dan teknologi keteknikan. JPE diterbitkan dalam dua bahasa dunia (bi-lingual), yaitu Bahasa Indonesia dan Bahasa Inggris. Berbagai bidang ilmu yang ...