TY - GEN
T1 - Architecture Monitoring and Reliability Estimation Based on DIP Technology
AU - Shah, Faisal Mehmood
AU - Shah, Zohaib Mehmood
AU - Maqsood, Sarmad
AU - Damasevicius, Robertas
AU - Shahzad, Muhammad Ali
AU - Wieczorek, Michał
AU - Woźniak, Marcin
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - All civil infrastructure units demand regular inspection to avoid functional and structural damages. Periodic examinations are in accordance with classification society’s standards which contain both non-destructive tests and visual surveys, to search structural damage, reliability, cracks, thickness measurement, and Water dripping generally documented by manually or with measurements tape. But, it is very hard to search cracks by visually monitoring much larger structures. Hence, the advent of crack detecting and monitoring systems has been a major issue. In this proposed study a crack detection algorithm in reference to digital image processing technology is suggested. Obtaining information of a surface crack by using an image pre-processing pipeline and to estimate the failure is proposed which helps and detects the structure cracks and body health information. It provides the identification system more portable and integrated, estimates the crack more precisely and reduction in expenditure as well. The proposed algorithm accuracy is 93.8% as compared to the traditional and recent work.
AB - All civil infrastructure units demand regular inspection to avoid functional and structural damages. Periodic examinations are in accordance with classification society’s standards which contain both non-destructive tests and visual surveys, to search structural damage, reliability, cracks, thickness measurement, and Water dripping generally documented by manually or with measurements tape. But, it is very hard to search cracks by visually monitoring much larger structures. Hence, the advent of crack detecting and monitoring systems has been a major issue. In this proposed study a crack detection algorithm in reference to digital image processing technology is suggested. Obtaining information of a surface crack by using an image pre-processing pipeline and to estimate the failure is proposed which helps and detects the structure cracks and body health information. It provides the identification system more portable and integrated, estimates the crack more precisely and reduction in expenditure as well. The proposed algorithm accuracy is 93.8% as compared to the traditional and recent work.
KW - Crack detection
KW - Image smoothing
KW - Morphological processing
KW - Structural inspections
UR - https://www.scopus.com/pages/publications/85117709843
U2 - 10.1007/978-3-030-87897-9_3
DO - 10.1007/978-3-030-87897-9_3
M3 - Conference contribution
AN - SCOPUS:85117709843
SN - 9783030878962
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 25
EP - 35
BT - Artificial Intelligence and Soft Computing - 20th International Conference, ICAISC 2021, Proceedings
A2 - Rutkowski, Leszek
A2 - Scherer, Rafał
A2 - Korytkowski, Marcin
A2 - Pedrycz, Witold
A2 - Tadeusiewicz, Ryszard
A2 - Zurada, Jacek M.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 20th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2021
Y2 - 21 June 2021 through 23 June 2021
ER -