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Penghua Zhang

2 papers indexed

semantic_scholare-Journal of Nondestructive Testing2026-08-01

BRDF-Based Photometric Stereo with AI Anomaly Detection for Fine Defect Inspection on Painted Electronic Buttons

Taesan Mo, Penghua Zhang, Seohyeon Jeong, Yeseul Kong, Gyuhae Park

TL;DR: A BRDF-based Photometric Stereo approach that accounts for complex reflectance characteristics when capturing fine geometric features of painted button surfaces, effectively enhancing the detectability of micro-defects that are visually indistinct in painted automotive components.

Ensuring the visual appearance quality of automotive interior buttons requires reliable inspection of painted surfaces. However, powder-coated finishes present complex reflectance behaviors, including directional glare and irregular highlight patterns, which often mask or resembl…

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semantic_scholare-Journal of Nondestructive Testing2026-08-01

An Integrated Hybrid Framework for Crack Detection on Pressed Panels with Baseline-Driven False-Positive Suppression

Geon Park, Yeseul Kong, Penghua Zhang, Gyuhae Park

TL;DR: A baseline-panel–driven correction map that utilizes prior information extracted from healthy panels is introduced that enhances the stability and accuracy of crack detection, enabling more reliable inspection under the challenging lighting conditions of real automotive press lines.

Crack detection on pressed panels is essential for maintaining quality in automotive manufacturing. However, achieving stable inspection is challenging due to strong reflections on metallic surfaces, geometric curvature, and varying illumination conditions. To address these issue…

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