Mobile Application Detection of Road Damage using Canny Algorithm

Gunawan,; Nuriyanto, Heri; Sriadhi, S.; Fauzi, Achmad; Usman, Ari; Fadlina, F.; Dafitri, Haida; Simarmata, Janner; Siahaan, Andysah Putera Utama; Rahim, Robbi

doi:10.1088/1742-6596/1019/1/012035

Cited by 12 publications

(7 citation statements)

References 9 publications

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“…The study's results (ibid) show a precision of 82% and recall of 81%. Edge detection is another widely used technique for pavement crack detection including either the Sobel operator (Hoang and Nguyen, 2018;Sagar and of Arc, 2016), Canny operator (Gunawan et al, 2018;Wang et al, 2018), Prewitt operator (Fakhri et al, 2019;Han et al, 2021) and Roberts operator (Hoang and Nguyen, 2018). The Roberts, Prewitt, CannyCanny, and Sobel algorithms are employed in (Hoang and Nguyen, 2018) as the edge detection methods for revealing crack textures appearing in concrete walls.…”

Section: About Here>mentioning

confidence: 99%

An automatic image processing based on Hough transform algorithm for pavement crack detection and classification

Matarneh

Elghaish²,

Al-Ghraibah³

et al. 2023

SASBE

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PurposeIncipient detection of pavement deterioration (such as crack identification) is critical to optimizing road maintenance because it enables preventative steps to be implemented to mitigate damage and possible failure. Traditional visual inspection has been largely superseded by semi-automatic/automatic procedures given significant advancements in image processing. Therefore, there is a need to develop automated tools to detect and classify cracks.Design/methodology/approachThe literature review is employed to evaluate existing attempts to use Hough transform algorithm and highlight issues that should be improved. Then, developing a simple low-cost crack detection method based on the Hough transform algorithm for pavement crack detection and classification.FindingsAnalysis results reveal that model accuracy reaches 92.14% for vertical cracks, 93.03% for diagonal cracks and 95.61% for horizontal cracks. The time lapse for detecting the crack type for one image is circa 0.98 s for vertical cracks, 0.79 s for horizontal cracks and 0.83 s for diagonal cracks. Ensuing discourse serves to illustrate the inherent potential of a simple low-cost image processing method in automated pavement crack detection. Moreover, this method provides direct guidance for long-term pavement optimal maintenance decisions.Research limitations/implicationsThe outcome of this research can help highway agencies to detect and classify cracks accurately for a very long highway without a need for manual inspection, which can significantly minimize cost.Originality/valueHough transform algorithm was tested in terms of detect and classify a large dataset of highway images, and the accuracy reaches 92.14%, which can be considered as a very accurate percentage regarding automated cracks and distresses classification.

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Section: About Here>mentioning

confidence: 99%

An automatic image processing based on Hough transform algorithm for pavement crack detection and classification

Matarneh

Elghaish²,

Al-Ghraibah³

et al. 2023

SASBE

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“…Penelitian yang dilakukan oleh Gunawan dkk tentang "Mobile Application Detection of Road Damage using Canny Algorithm". Hasil dari penelitian ini adalah algoritma canny dapat digunakan untuk mendeteksi kerusakan jalan dengan menambahkan fungsi threshold [4].…”

Section: Pendahuluanunclassified

“…%Value for Thresholding T_Low = 0.075; T_High = 0.175; Listing 3. Script Median Blur dan Threshold Canny Penggunaan threshold baik digunakan pada penelitian ini seperti yang dilakukan [4]. Nilai threshold dapat mempengaruhi tepi dan dapat membantu untuk mengurangi noise.…”

Section: Listing 2 Script Threshold Canny Dan Median Blurunclassified

Segmentasi Citra Ikan Arwana Super Red Berdasarkan Deteksi Tepi Menggunakan Algoritma Canny

Kusrini

Kurniawan

2019

JurTI

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- Ornamental fish is a fish that lived in the aquarium and for lovers of fish have ornamental fish is the most favored. One of the ornamental fish is pretty much in demand and has a fairly high selling price is super red Arowana fish. Super red Arowana fish also called dragon fish because it has scales resembling a dragon. In general, the selling price of super red Arowana fish is influenced by the size of the fish, such as the length and width of the fish. The high prices caused the farmers are very careful in treating the fish, so it is necessary there is a system that if it can measure the length and width of super red Arowana fish. The research groove generally consists of two phases. The initial phase of that region contributes to the best image segmentation and the second stage is to produce a long and wide super red Arowana fish. The current study focuses on the early stages, the best image segmentation. At this early stage, the detection process is carried out using the algorithm Canny edge of the fish so as to produce the best image segmentation. In this study, using three scenarios, the first scenario uses the Canny course, the second scenario using the canny and the median blur, the third scenario using the median blur and canny. Based on all these three scenarios obtained image segmentation fish with the best scenario, the scenario-2 using the canny and the median blur with MSE value of 26494.56, PNSR value of 41.89 dB, and MAPE value of 99.28%.Keywords - Canny Edge Detection, Super Red Arowana Fish, Image Segmentation, Ornamental fish Abstrak - Ikan hias merupakan ikan yang dihidupi didalam aquarium dan bagi para pecinta ikan memiliki ikan hias adalah hal yang paling disenangi. Salah satu ikan hias yang cukup banyak diminati dan memiliki harga jual yang cukup tinggi adalah ikan arwana super red. Ikan arwana jenis super red biasa juga disebut dengan ikan naga karena memiliki sisik yang menyerupai naga. Pada umumnya harga jual ikan arwana super red ini dipengaruhi oleh ukuran ikan, seperti panjang dan lebar ikan. Harga jual yang tinggi tersebut menyebabkan para pembudidaya sangat berhati-hati dalam memperlakukan ikan tersebut, sehingga dirasa perlu terdapat sebuah sistem yang sekiranya dapat mengukur panjang dan lebar ikan arwana super red. Alur penelitian secara umum terdiri dari dua tahap. Tahap awal yaitu meghasilkan segmentasi citra terbaik dan tahap kedua adalah menghasilkan panjang dan lebar ikan arwana super red. Penelitian yang dilakukan saat ini berfokus pada tahap awal, yaitu segmentasi citra terbaik. Pada tahap awal ini dilakukan proses deteksi tepi ikan menggunakan algoritma canny sehingga menghasilkan segmentasi citra terbaik. Pada penelitian ini menggunakan 3 skenario, skenario pertama menggunakan canny saja, skenario kedua menggunakan canny dan median blur, skenario ketiga menggunakan median blur dan canny. Berdasarkan ke-3 skenario tersebut diperoleh segmentasi citra ikan dengan skenario terbaik, yaitu skenario ke-2 menggunakan canny dan median blur dengan nilai MSE sebesar 26494.56, nilai PNSR sebesar 41.89 dB, dan nilai MAPE sebesar 99.28%. Kata kunci - Deteksi Tepi Algoritma Canny, Ikan Arwana Super Red, Segmentasi Citra, Ikan Hias

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“…While learning is defined as the process of creating an environment that allows the learning process. A personal computer (PC) can be said to be a multimedia PC if it has: a CD-ROM or DVD drive [17], [18]. It supports the recording and playback of 16-bit wavelength audio, MIDI sound synthesis, MPEG moving image display, a reasonably fast center and a large enough RAM capable of playing and interacting with these media in real time, and with hard drives large enough to store the created multimedia work [19].…”

Section: Multimediamentioning

confidence: 99%

Multimedia of Number Recognition for Early Childhood Using Image Object

Simarmata¹,

Limbong²,

Tambunan³

et al. 2018

IJET

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Many children are currently challenging to comprehend the mathematics learning, especially the counting. The children assumed that mathematics is a disliked subject, while most of the aspects in the daily life require the ability to count. The primary education about the numbers is still lacking. In early childhood, a math learning activity should be in a fun atmosphere in learning. To know numbers need to be presented creatively by using media such as multimedia-based computers so as not to get bored for the students. The application of number recognition for early childhood is equipped with sound to assist the students in pronouncing the numbers. By using the computer, the students can recognize the number 1 to 10 increased by about 37%, 39% of the students can write the numbers, and 15% of them can say the numbers.

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Mobile Application Detection of Road Damage using Canny Algorithm

Cited by 12 publications

References 9 publications

An automatic image processing based on Hough transform algorithm for pavement crack detection and classification

An automatic image processing based on Hough transform algorithm for pavement crack detection and classification

Segmentasi Citra Ikan Arwana Super Red Berdasarkan Deteksi Tepi Menggunakan Algoritma Canny

Multimedia of Number Recognition for Early Childhood Using Image Object

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