Title :
Efficient image enhancement algorithm for images of steel reinforcing bars in concrete obtained by a new solid-state sensor-based system
Author :
Benitez, S. ; Quek, S. ; Gaydecki, P.
Author_Institution :
Sch. of Electr. & Electron. Eng., Manchester Univ., Manchester
Abstract :
This work describes a new image-processing method capable of enhancing the raw images of steel reinforcing bars in concrete obtained by a new generation of imaging instrument based on solid-state magneto-inductive (MI) sensors. The new method considers the non-uniform response of the static search coil and addresses the problem of image blurring because of the field distribution pattern and bar depth. Experimental results obtained for different steel bar specimens are presented showing a significant enhancement of the original image information regarding bar mesh position and contrast.
Keywords :
bars; image enhancement; image sensors; reinforced concrete; steel; structural engineering computing; bar depth; concrete; field distribution pattern; image blurring; image enhancement algorithm; imaging instrument; solid-state magneto-inductive sensors; solid-state sensor-based system; static search coil; steel reinforcing bars;
Journal_Title :
Science, Measurement & Technology, IET
DOI :
10.1049/iet-smt:20060105