In this paper, we present a method for detection of OLED panel surface defects using a novel and simple set of features based on local inlier-outlier ratios and ...
In this paper, we present a method for detection of OLED panel surface defects using a novel and simple set of features based on local inlier-outlier ratios ...
The proposed inlier-outlier vector is easy to compute and provides robust discrimination between defect and non-defect samples of micro defects such as ...
We also investigate the application of features called as local inlier---outlier ratios augmented with modified local binary pattern (LBP) for detection of OLED ...
This paper presents a system and model for data acquisition and augmentation in OLED panel defect detection to improve detection efficiency.
We also investigate the application of features called as local inlier?outlier ratios augmented with modified local binary pattern (LBP) for detection of OLED ...
OLED Panel Defect Detection Using Local Inlier-Outlier Ratios and Modified LBP (PDF) V. A. Sindagi and S. Srivastava IAPR International Conference on ...
Feb 13, 2017 · They also propose a new feature descriptor using modified Local Binary Pattern (LBP) and local inlier-outlier ratios for detection of OLED panel ...
Visual-Based Defect Detection and Classification Approaches for ...
pmc.ncbi.nlm.nih.gov › PMC7085592
This paper reviews automated visual-based defect detection approaches applicable to various materials, such as metals, ceramics and textiles.
Oct 22, 2024 · In this paper, we proposed an approach to detect the defects based on the model of independent component analysis (ICA). The ICA model is ...