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Sunarko Sunarko
Teknik Mesin FT UM
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Health Professions Materials Science & Nanotechnology Neuroscience Nursing Social Sciences

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Edge Detection Technique Analysis to Determine Deformation In Bridge Structure Sunarko Sunarko
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 2 (2022): Budapest International Research and Critics Institute May
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i2.5699

Abstract

Transportation infrastructure is one of the keys to economic development in Indonesia. As a result of the lack of addressing maintenance requirements and rehabilitation, bridge management systems are developed to help plan bridge maintenance and rehabilitation and to avoid a crisis reaction approach to maintain transportation infrastructure. However, the costs associated with developing and maintaining transport infrastructure in Indonesia continue to rise, and funding continues to shrink. Many evaluation methods are designed to operate on existing bridges without impairing their usefulness. Some of these methods are known as nondestructive evaluation (NDE) methods. Four imaging edge detection algorithms were selected for comparison in this paper: Fast Haar Transform (FHT), Fast Fourier Transform (FFT), Sobel, and Canny. This algorithm is used in many edge detection problems and considered here as a possible crack detection technique for bridge inspection problems.
Co-Authors Adi Isworo Angga Sugiarto Ariyawan Sunardi Asnul Sufmawan Elisabeth Ratnawati Eva Bonawati Hanapi Ali Heri Suherkiman Ika WAHYUNI Kawkab Mustofa nevy kususma danarti Ranji Gusman Sriyatun Sriyatun Sujarwono Sujarwono Sutrisno Sutrisno Sutrisno Sutrisno Teguh DARMAWAN Wahyu DWIANTO Yusup AMIN