DocumentCode :
2750844
Title :
An Adaptive Segmentation Method for Product Surface Inspection
Author :
Zhao, Jianhui ; Zheng, Fei ; Kong, Bin
Author_Institution :
Center for Biomimetic Sensing & Control Res., Chinese Acad. of Sci., Hefei
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
10393
Lastpage :
10397
Abstract :
Aiming at the specialty and practical requirement in on-line visual inspection of industrial product surface, an adaptive segmentation algorithm using bi-threshold selection method based on Otsu method is presented. For a gray image with two main peaks in its histogram, the target peak was extracted with two thresholds, which could segment the product surface from background and possibly existed defects. The second threshold was determined under the help of an artificial peak made in a way given in this paper. The experiment results indicate that the proposed method has low computation cost, fast speed and good segmentation performance
Keywords :
image segmentation; inspection; production engineering computing; Otsu method; adaptive segmentation algorithm; bithreshold selection; gray image; image segmentation; industrial product surface inspection; online visual inspection; Histograms; Image analysis; Image segmentation; Inspection; Machine vision; Magnetic analysis; Production; Rough surfaces; Surface morphology; Surface roughness; Bi-threshold; Image segmentation; On-line visual inspection; Otsu method; Surface defect;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1714039
Filename :
1714039
Link To Document :
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