Measurement of Crack Damage Dimensions on Asphalt Road Using Gabor Filter

D. R. Sulistyaningrum; B. Setiyono; J. N. Anita; M. R. Muheimin

doi:10.1088/1742-6596/1752/1/012086

Measurement of Crack Damage Dimensions on Asphalt Road Using Gabor Filter

D. R. Sulistyaningrum^*, B. Setiyono, J. N. Anita, M. R. Muheimin

^*Corresponding author for this work

Institut Teknologi Sepuluh Nopember

Research output: Contribution to journal › Conference article › peer-review

4 Citations (Scopus)

Abstract

Cracks are a type of road defect that is often found on highways. Crack dimension information is needed in the process of road maintenance and repair. Image processing methods have been widely used for visual detection of damage. One of them is the Gabor filter method, which has been used for texture-based defect detection. In this study, the detection and measurement of crack dimensions on the asphalt road have been carried out using Gabor Filter. The steps to measure crack dimensions consist of image acquisition, pre-processing, segmentation, labeling, and dimension measurement. The results of experiments on 15 crack images showed that the method's accuracy reached 95.191% for the crack area length and 87,935% for the crack area width.

Original language	English
Article number	012086
Journal	Journal of Physics: Conference Series
Volume	1752
Issue number	1
DOIs	https://doi.org/10.1088/1742-6596/1752/1/012086
Publication status	Published - 15 Feb 2021
Event	3rd International Conference on Statistics, Mathematics, Teaching, and Research 2019, ICSMTR 2019 - Makassar, Indonesia Duration: 9 Oct 2019 → 10 Oct 2019

Keywords

Gabon Filter
crack detection
crack dimension
image Processing
road defect

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10.1088/1742-6596/1752/1/012086

Cite this

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title = "Measurement of Crack Damage Dimensions on Asphalt Road Using Gabor Filter",

abstract = "Cracks are a type of road defect that is often found on highways. Crack dimension information is needed in the process of road maintenance and repair. Image processing methods have been widely used for visual detection of damage. One of them is the Gabor filter method, which has been used for texture-based defect detection. In this study, the detection and measurement of crack dimensions on the asphalt road have been carried out using Gabor Filter. The steps to measure crack dimensions consist of image acquisition, pre-processing, segmentation, labeling, and dimension measurement. The results of experiments on 15 crack images showed that the method's accuracy reached 95.191% for the crack area length and 87,935% for the crack area width.",

keywords = "Gabon Filter, crack detection, crack dimension, image Processing, road defect",

author = "Sulistyaningrum, {D. R.} and B. Setiyono and Anita, {J. N.} and Muheimin, {M. R.}",

note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; 3rd International Conference on Statistics, Mathematics, Teaching, and Research 2019, ICSMTR 2019 ; Conference date: 09-10-2019 Through 10-10-2019",

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T1 - Measurement of Crack Damage Dimensions on Asphalt Road Using Gabor Filter

AU - Sulistyaningrum, D. R.

AU - Setiyono, B.

AU - Anita, J. N.

AU - Muheimin, M. R.

N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2021/2/15

Y1 - 2021/2/15

N2 - Cracks are a type of road defect that is often found on highways. Crack dimension information is needed in the process of road maintenance and repair. Image processing methods have been widely used for visual detection of damage. One of them is the Gabor filter method, which has been used for texture-based defect detection. In this study, the detection and measurement of crack dimensions on the asphalt road have been carried out using Gabor Filter. The steps to measure crack dimensions consist of image acquisition, pre-processing, segmentation, labeling, and dimension measurement. The results of experiments on 15 crack images showed that the method's accuracy reached 95.191% for the crack area length and 87,935% for the crack area width.

AB - Cracks are a type of road defect that is often found on highways. Crack dimension information is needed in the process of road maintenance and repair. Image processing methods have been widely used for visual detection of damage. One of them is the Gabor filter method, which has been used for texture-based defect detection. In this study, the detection and measurement of crack dimensions on the asphalt road have been carried out using Gabor Filter. The steps to measure crack dimensions consist of image acquisition, pre-processing, segmentation, labeling, and dimension measurement. The results of experiments on 15 crack images showed that the method's accuracy reached 95.191% for the crack area length and 87,935% for the crack area width.

KW - Gabon Filter

KW - crack detection

KW - crack dimension

KW - image Processing

KW - road defect

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U2 - 10.1088/1742-6596/1752/1/012086

DO - 10.1088/1742-6596/1752/1/012086

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AN - SCOPUS:85101735373

SN - 1742-6588

VL - 1752

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

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T2 - 3rd International Conference on Statistics, Mathematics, Teaching, and Research 2019, ICSMTR 2019

Y2 - 9 October 2019 through 10 October 2019

ER -

Measurement of Crack Damage Dimensions on Asphalt Road Using Gabor Filter

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Keywords

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