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Recognition of partially occluded two-dimensional objects

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2 Author(s)
Tsui, H.T. ; Chinese University of Hong Kong, Department of Electronics, Shatin, Hong Kong ; Chan, M.H.

Recognition of partially occluded objects is essential for many industrial applications of machine vision. A fast and reliable algorithm based on subtemplate matching of boundary images is proposed to tackle the problem. Dynamic programming (DP) is employed in the algorithm to ensure an optimal consistent solution. With the weightings of the subtemplate determined off-line, the computational effort is roughly proportional to MN, where M is the length of image boundary and N is the number of subtemplates to be matched. Experimental results show that the algorithm will work for a wide variety of objects.

Published in:

Computers and Digital Techniques, IEE Proceedings E  (Volume:134 ,  Issue: 1 )

Date of Publication:

January 1987

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