Detection and counting potholes using morphological method from road video

M. Muslim*, D. R. Sulistyaningrum, B. Setiyono

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

At this time the road checking is done manually. Road checking manually still has many disadvantages, among others, requires a lot of time, requires a lot of costs, dangerous, and lacks accuracy from data information. Therefore, road checks are needed automatically. In this paper an identity system was developed road distress especially potholes, based on digital video, using digital video processing. Digital video processing has advantages in detecting objects. Applications of digital video processing include are vehicle counting, pedestrian counting, etc. The steps in this paper are pre-processing for improving image quality, segmentation to distinguish between objects and background, morphology to perfect the shape of the object, labeling and tracking to give ID and know the same object in order frame, and the last step is the calculation of the number of potholes on the road. The morphology process uses morphology dilation and then morphology closing. The shape of the structure element used is a rectangle shape, while the size of the structure elements are 7 × 7, 15 × 15, and 21 × 21. In this paper, the best trial results are shown in the size 15 × 15 with an average value of accuracy 100 %, precision 100 %, and recall 100 %.

Original languageEnglish
Title of host publicationProceedings of the 5th International Symposium on Current Progress in Mathematics and Sciences, ISCPMS 2019
EditorsTerry Mart, Djoko Triyono, Tribidasari Anggraningrum Ivandini
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735420014
DOIs
Publication statusPublished - 1 Jun 2020
Event5th International Symposium on Current Progress in Mathematics and Sciences, ISCPMS 2019 - Depok, Indonesia
Duration: 9 Jul 201910 Jul 2019

Publication series

NameAIP Conference Proceedings
Volume2242
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference5th International Symposium on Current Progress in Mathematics and Sciences, ISCPMS 2019
Country/TerritoryIndonesia
CityDepok
Period9/07/1910/07/19

Keywords

  • Digital video processing
  • morphology
  • potholes

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