TY - GEN
T1 - Performance measurement of thresholding algorithms in printed circuit board inspection system
AU - Ibrahim, Ismail
AU - Bakar, Syed Abdul Rahman Syed Abu
AU - Mokji, Musa Mohd
AU - Khalil, Kamal
AU - Yusof, Zulkifli Md
AU - Mukred, Jameel Abdulla Ahmed
AU - Ibrahim, Zuwairie
AU - Mohamad, Mohd Saberi
AU - Ahmad, Wan Khairunizam Wan
PY - 2011
Y1 - 2011
N2 - It is well-known that thresholding algorithm is needed by gray-scale images in segmentation operation. In this paper, real printed circuit boards used are captured using a monochrome charged coupled device camera and produced images consisting of foreground and background objects in gray-scale format. In order to correctly differentiate these two kinds of attributes, several of thresholding algorithms are applied. Then, misclassification error measure has been employed to evaluate the performances of these thresholding algorithms. This method gives information on how many percentages of background pixels wrongly assigned to foreground, and foreground pixels wrongly assigned to background pixels. As the best thresholding algorithm has been chosen, median filtering and the proposed defect classification algorithm can be applied to remove small noise in resultant images and classify the defects occurred on the printed circuit boards, respectively.
AB - It is well-known that thresholding algorithm is needed by gray-scale images in segmentation operation. In this paper, real printed circuit boards used are captured using a monochrome charged coupled device camera and produced images consisting of foreground and background objects in gray-scale format. In order to correctly differentiate these two kinds of attributes, several of thresholding algorithms are applied. Then, misclassification error measure has been employed to evaluate the performances of these thresholding algorithms. This method gives information on how many percentages of background pixels wrongly assigned to foreground, and foreground pixels wrongly assigned to background pixels. As the best thresholding algorithm has been chosen, median filtering and the proposed defect classification algorithm can be applied to remove small noise in resultant images and classify the defects occurred on the printed circuit boards, respectively.
KW - median filtering
KW - misclassification error
KW - PCB inspection system
KW - thresholding
UR - http://www.scopus.com/inward/record.url?scp=83155189188&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=83155189188&partnerID=8YFLogxK
U2 - 10.1109/CIMSim.2011.50
DO - 10.1109/CIMSim.2011.50
M3 - Conference contribution
AN - SCOPUS:83155189188
SN - 9780769545622
T3 - Proceedings - CIMSim 2011: 3rd International Conference on Computational Intelligence, Modelling and Simulation
SP - 242
EP - 247
BT - Proceedings - CIMSim 2011
T2 - 2nd International Conference on Computational Intelligence, Modelling and Simulation 2011, CIMSim 2011
Y2 - 20 September 2011 through 22 September 2011
ER -