Paper
3 September 2008 Detection of circuit-board components with an adaptive multiclass correlation filter
Author Affiliations +
Abstract
A new method for reliable detection of circuit-board components is proposed. The method is based on an adaptive multiclass composite correlation filter. The filter is designed with the help of an iterative algorithm using complex synthetic discriminant functions. The impulse response of the filter contains information needed to localize and classify geometrically distorted circuit-board components belonging to different classes. Computer simulation results obtained with the proposed method are provided and compared with those of known multiclass correlation based techniques in terms of performance criteria for recognition and classification of objects.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Victor H. Diaz-Ramirez and Vitaly Kober "Detection of circuit-board components with an adaptive multiclass correlation filter", Proc. SPIE 7072, Optics and Photonics for Information Processing II, 70721D (3 September 2008); https://doi.org/10.1117/12.795251
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image filtering

Detection and tracking algorithms

Digital filtering

Computer simulations

Pattern recognition

Electronic components

Printed circuit board testing

Back to Top