Title :
A single chip multi-function sensor system for wood inspection
Author :
Åstrand, Erik ; Åström, Anders
Author_Institution :
Dept. of Electr. Eng., Linkoping Univ., Sweden
Abstract :
Image processing is used in the forest products industry to detect various defects on wood surfaces. Normally, several different sensors are needed, which makes the systems complicated and expensive. In this paper we present a highly integrated sensor system for wood defect detection based on a single MAPP2200 smart sensor. Five different measuring principles are simultaneously utilized to detect surface grayscale, surface roughness, deviating grain direction, 3D-profile and surface density. Using a pixel resolution of 1×0.5 mm, the sensor permits scanning of boards at the speed of several meters per second
Keywords :
automatic optical inspection; 0.55 mm; 3D profile detection; deviating grain direction detection; forest products industry; highly integrated sensor system; image processing; pixel resolution; single MAPP2200 smart sensor; single chip multifunction sensor system; surface density detection; surface grayscale detection; surface roughness detection; wood defect detection; wood inspection; Gray-scale; Image processing; Image sensors; Inspection; Intelligent sensors; Logic arrays; Photodiodes; Rough surfaces; Sensor systems; Surface roughness;
Conference_Titel :
Pattern Recognition, 1994. Vol. 3 - Conference C: Signal Processing, Proceedings of the 12th IAPR International Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6275-1
DOI :
10.1109/ICPR.1994.577183
