Product surface defect detection is vital to ensure the quality, efficiency, and reliability of
industrial production. Deep-learning-based product surface defect inspection algorithms …

Several areas of the quality inspection on architectural works only use subjective visual
inspection, especially those involving aesthetic faults. Because people are limited in what …

Conventional quality control (QC) is carried out at the end of the manufacturing for surface
defect (SD) detection and separating the products as to quality in ceramic tile manufacturing …

In the textile manufacturing industry, fabric defect detection becomes a necessary and
essential step in quality control. The investment in this field is more than economical when …

We propose a combination of image processing methods to detect ceramic tiles defects
automatically. The primary goal is to identify faults in ceramic tiles, with or without texture …

Support vector machine (SVM) is a renowned machine learning technique, which has been
successfully applied to solve many practical pattern classification problems. One of the …

Defect detection is one of the problems in image processing and many different methods
based on texture analysis have been proposed. The two dimensional local binary pattern …

Air Bearing Surface (ABS) is a part on HDD responsible to control the flying height during
read/write data. The defect on ABS causes poor performance, therefore it is necessary to …

Automatic fabric inspection is important for maintain the fabric quality. For a long time the
fabric defects inspection process is still carried out with human visual inspection, and thus …

A large amount of seam detection for inhomogeneously textured fabrics makes those
performing it fatigued, which leads to misjudgments by human vision, especially for the …