Title :
A computer vision system for analyzing images of rough hardwood lumber
Author :
Cho, Tai-Hoon ; Conners, Richard W. ; Araman, Philip A.
Author_Institution :
Dept. of Electr. Eng., Virginia Tech., Blacksburg, VA, USA
Abstract :
A computer vision system for locating and identifying defects on rough hardwood lumber in a species-independent manner is described. The system consists of three modules: a low-level module, a mid-level module, and a high-level module. The low-level module is a segmentation module that segments an input board image using a histogram-based thresholding method. The mid-level module eliminates small noise regions, merges similar adjacent regions, and computes region properties of merged regions. The high-level module identifies the defects present in each of the regions passed to it using a rule-based approach. The system is designed to be used in an automatic edger and trimmer for hardwood lumber in order to optimize the value of the hardwood boards processed
Keywords :
computer vision; knowledge based systems; wood processing; automatic edger and trimmer; computer vision system; defects identification; high-level module; histogram-based thresholding method; low-level module; merged regions; mid-level module; region properties; rough hardwood lumber; rule-based approach; segmentation; Computer vision; Costs; Histograms; Image analysis; Image segmentation; Machine vision; Manufacturing; Raw materials; Rough surfaces; Surface roughness;
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
DOI :
10.1109/ICPR.1990.118204
