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Improved Normalized Cross-Correlation for Defect Detection in Printed-Circuit Boards

https://doi.org/10.1109/tsm.2019.2911062
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Outgoing claims: the papers this work cites, builds on, or argues with.

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An Improved Template Matching Method for Object Detection
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1-D fast normalized cross-correlation using additions
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A quantile–quantile plot based pattern matching for defect detection
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Type-II/III DCT/DST algorithms with reduced number of arithmetic operations
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Rotation-invariant pattern matching using wavelet decomposition
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The evaluation of normalized cross correlations for defect detection
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Fast normalized cross correlation for defect detection
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A dataset for computer-vision-based PCB analysis
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A Shift-Tolerant Dissimilarity Measure for Surface Defect Detection
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Factors affecting the correlation coefficient template matching algorithm with application to real-time 2-D coronary artery MR imaging
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Generating Synthetic Mammograms From Reconstructed Tomosynthesis Volumes
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Machine Vision-Based Defect Detection in IC Images Using the Partial Information Correlation Coefficient
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A Computerized Automatic Inspection System For Complex Printed Thick Film Patterns
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Normalize Cross Correlation Algorithm in Pattern Matching Based on 1-D Information Vector
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One-Dimensional Vector Based Pattern Matching

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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基于本征特征分解和多级融合的PCB缺陷检测模型,对抗图像不确定性
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NESNE TESPİTİ İÇİN KULLANILAN ŞABLON EŞLEME YÖNTEMİNİN KOMŞULUK HAVUZU TEKNİĞİ İLE GÜÇLENDİRİLMESİ
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