On the recognition of industrial parts

Author

Chen, Yui-Liang ; Hung, D.C.

Author_Institution

Dept. of Comput. & Inf. Sci., New Jersey Inst. of Technol., Newark, NJ, USA

fYear

1994

fDate

1-4 Mar 1994

Firstpage

461

Lastpage

462

Abstract

The authors present an algorithm for representing two-dimensional shapes that may be partially occluded or overlapped. Based on the approximated polygon, extended features that encompass neighborhoods of significant corners are defined. Two hypothetic angularities are first established to create hypothetic space. An analytic-circular-tag (ACT) which groups a specified number of consecutive hypothetic points in the sequence is used to provide a new scheme for matching technique. A hypothesis-generation-testing technique is used for contour matching. The experimental results demonstrate that the algorithms can be used to match complex industrial parts

Keywords

image recognition; manufacturing data processing; manufacturing processes; ACT; analytic-circular-tag; approximated polygo; complex industrial parts; consecutive hypothetic points; contour matching; extended features; hypothesis-generation-testing technique; hypothetic angularities; hypothetic space; industrial parts recognition; two-dimensional shapes; Feature extraction; Gravity; Information science; Joining processes; Layout; Noise shaping; Phase measurement; Shape; Space technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence for Applications, 1994., Proceedings of the Tenth Conference on

Conference_Location

San Antonia, TX

Print_ISBN

0-8186-5550-X

Type

conf

DOI

10.1109/CAIA.1994.323638

Filename

323638