Image segmentation to inspect 3‐D object sizes
Author(s) -
JuiPin Hsu
Publication year - 1996
Publication title -
optical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.357
H-Index - 105
eISSN - 1560-2303
pISSN - 0091-3286
DOI - 10.1117/1.600895
Subject(s) - computer vision , computer science , artificial intelligence , image segmentation , segmentation , image processing , object (grammar) , computer graphics (images) , image (mathematics) , pattern recognition (psychology)
Object size inspection is an important task and has various can be applied to other 3-D objects, We use one fixed camera and four light sources at four different positions one at a time, to take four images. Then we compute the image differences and binarize them to extract edges. We explain, step by step, the photographing, the edge extraction, the noise removal, and the edge gap filling. Experimental results are presented. Subject terms: visual commurrictiions and image processing; image segmenta- tion; image difference; edge extraction; edge detection; gap filling.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom