NDLI: Automatic Inspection of Small Component on Loaded PCB Based on Mean-Shift and Support Vector Machine

Content Provider	IEEE Xplore Digital Library
Author	Yan Wang Yi Sun Wenxing Zhang
Copyright Year	2009
Abstract	Automatic inspection of small components on loaded Printed Circuit Board (PCB) is difficult due to the requirements of precision and high speed. In this paper, a mean-shift and Support Vector Machine (SVM) based method for inspection of small components on loaded PCB is presented. Firstly, the images of small components are smoothened using mean-shift method and then their binary images are obtained by adaptive segmentation algorithm. Next, some features are extracted from the binary images and are input to a trained SVM to diagnose whether the small components are located correctly. The experimental results show that the proposed approach is effective and feasible to inspect small components on loaded PCB.
Starting Page	195
Ending Page	198
File Size	1051020
Page Count	4
File Format	PDF
ISBN	9780769537368
DOI	10.1109/ICNC.2009.407
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Printed circuits Humans Inspection printed circuit board automatic inspection Sun Support vector machines Manufacturing industries Image segmentation support vector machine Support vector machine classification Feature extraction Kernel Mean-shift
Content Type	Text
Resource Type	Article

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Automatic Inspection of Small Component on Loaded PCB Based on Mean-Shift and Support Vector Machine