Automatic thresholding for defect detection

By Hui-Fuang Ng. International Conference on Image and Graphics, 2004

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Visual-Based Defect Detection and Classification Approaches for Industrial Applications—A SURVEY (2020, background): “Implementations can be found, for instance, in [6,7,143–145], which have proven to be worthy as low-level processes in defect detection.”
Feature selection for surface defect classification of extruded aluminum profiles (2016, methodology): “Ng was not satisfied with the results provided by this method for small defects, so he modified it developing the valley-emphasis method [12].”
A Review of Recent Advances in Surface Defect Detection using Texture analysis Techniques (2008, methodology): “Re cently, Ng [94] proposed a histogram separation technique based on the Otsu global thresholding method [100 ] to segment surface defects.”
Augmentation for small object detection (2019, background): “Automatic industrial inspection can also beneﬁt from small object detection by the localization of small defects that can be visible on the material surfaces [1,30].”