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Anas Ibrahim
Universiti Teknologi MARA
GeocompositeDigital cameraCompressive strengthComputer scienceImage processing
3Publications
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Publications 5
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#2Muhammad Khusairi Osman (UiTM: Universiti Teknologi MARA)H-Index: 11
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Asphalt pavement defects on road surface contribute one of the most important factors for traffic accident. Research on asphalt pavement using image processing techniques have been carried but there are still have challenges to the presence of shadows, oil stains and water spot. Therefore, considering the abovementioned issues, this study proposed a fully automated pavement crack detection and classification using deep convolution neural network (DCNN). First, the image of pavement cracks with d...
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Last. Muhammad Khusairi OsmanH-Index: 11
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#1Anas Ibrahim (UiTM: Universiti Teknologi MARA)
#2Muhammad Khusairi Osman (UiTM: Universiti Teknologi MARA)H-Index: 11
Last. Rafikha Aliana A. Raof (UniMAP: Universiti Malaysia Perlis)H-Index: 2
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This study presents characterization of cracking in pavement distress using image processing techniques and k -nearest neighbour (kNN) classifier. The proposed semi-automated detection system for characterization on pavement distress anticipated to minimize the human supervision from traditional surveys and reduces cost of maintenance of pavement distress. The system consists of 4 stages which are image acquisition, image processing, feature extraction and classification. Firstly, a tool for ima...
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#2Muhammad Khusairi Osman (UiTM: Universiti Teknologi MARA)H-Index: 11
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Pavement distress particularly cracks, are the most significant type of pavement distress that has been studied for many years due to the complicated pavement crack condition. The continuous severity of crack can cause a dangerous environment that may affect the road users. Therefore, an efficient computer algorithm plays an important role in developing analysis tools for automated crack detection. In Malaysia, many of road surveyors are still employing manual inspection, which is a labour-inten...
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#1Shiao Huey ChowH-Index: 7
#2Anas Ibrahim (UiTM: Universiti Teknologi MARA)
Last. AbdulNaserAbdulGhani (Universiti Sains Malaysia)H-Index: 2
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