Recognition of partially occluded two-dimensional objects
作者:
H.T.Tsui,
M.H.Chan,
期刊:
IEE Proceedings E (Computers and Digital Techniques)
(IET Available online 1987)
卷期:
Volume 134,
issue 1
页码: 9-16
年代: 1987
DOI:10.1049/ip-e.1987.0002
出版商: IEE
数据来源: IET
摘要:
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 toMN, whereMis the length of image boundary andNis the number of subtemplates to be matched. Experimental results show that the algorithm will work for a wide variety of objects.
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