1993
DOI: 10.1007/bf01212302
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Image registration for automated inspection of printed circuit patterns using CAD reference data

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Cited by 8 publications
(2 citation statements)
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“…Given a new input drill bit blade image, we calculate the distance D to each class by a weighed Euclidean distance as the following function. D = t) (X -X )2enter + t2 (Y-renter) + 3 (Z -Zenter (6) where Xis the length, Yis the width, Zis area, is the weight for each feature which depends on the application, and (Xcenter, Ycenter, Zcenter) is the center of each class, which is calculated by n n n Y,XI EYY,Y,Zi (Xcenter n Ycenter n z center…”
Section: ) Length and Widthmentioning
confidence: 99%
“…Given a new input drill bit blade image, we calculate the distance D to each class by a weighed Euclidean distance as the following function. D = t) (X -X )2enter + t2 (Y-renter) + 3 (Z -Zenter (6) where Xis the length, Yis the width, Zis area, is the weight for each feature which depends on the application, and (Xcenter, Ycenter, Zcenter) is the center of each class, which is calculated by n n n Y,XI EYY,Y,Zi (Xcenter n Ycenter n z center…”
Section: ) Length and Widthmentioning
confidence: 99%
“…This approach depends heavily on the robustness and accuracy of the extraction of geometric features. In addition, Rodriguez and Mandeville [12] proposed an image registration technique by fitting feature points in the zero-crossings extracted from the inspection image to the corresponding points extracted from the CAD model via an affine transformation. However, it is not easy to reliably establish the correspondence between the two set of feature points.…”
Section: Introductionmentioning
confidence: 99%