A statistical modeling approach to content based video retrieval
Milind R. Naphade, Sankar Basu, et al.
ICPR 2008
In this paper, a review of machine-vision methods for microelectronic production and related unsolved problems is given, based on research paradigms and manufacturing needs that are seldom addressed in the literature. Although the importance of many industrial machine-vision applications has been identified, this paper will cover only a subset of these problems because of space limitations. Specifically, the automated visual inspection of printed circuit boards and thick-film circuits will be reviewed. Different aspects of these problems will be surveyed, including manufacturing considerations, contributions to sensing techniques, and, more importantly, digital image processing and analysis methods. For printed wiring boards, several production stages are addressed in which automated visual inspection plays a key role, from artwork to lamination of multiple layers and plated-through holes. In addition, the main inspection problems arising in populated boards will be reviewed, such as solder joint integrity and top-surface component placement. Finally, some machine-vision approaches used for thick-film and hybrid circuit inspection are considered. © 1986 Optical Society of America.
Milind R. Naphade, Sankar Basu, et al.
ICPR 2008
Benny Kimelfeld, Yehoshua Sagiv
ICDT 2013
Guo-Jun Qi, Charu Aggarwal, et al.
IEEE TPAMI
Kun Wang, Juwei Shi, et al.
PACT 2011