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Updated: Aug 13, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Isack Farady1,2, Chia-Chen Kuo3, Hui-Fuang Ng4
1Department of Electrical Engineering, Mercu Buana University, Jakarta 11650, Indonesia.
This study introduces Hierarchical Image Transformation and Multi-level Features (HIT-MiLF) to improve industrial anomaly detection. The method enhances training data to handle non-ideal images, boosting performance on metal datasets.
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