Visual quality inspection systems play an important role in many industrial applications. In
this respect, surface defect detection is one of the problems that have received much …

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 …

In this paper, we present a Robust Completed Local Binary Pattern (RCLBP) framework for a
surface defect detection task. Our approach uses a combination of Non-Local (NL) means …

Local binary patterns (LBPs) are one of the features which have been used for texture
classification. In this paper, a method based on using these features is proposed for fabric …

Abstract Local Binary Pattern (LBP) is widely used in texture classification because of its
powerful capability to extract texture features of a center pixel. However, LBP has three main …

Aiming at the problems of complex texture, variable interference factors and large sample
acquisition in surface defect detection, a generic method of automated surface defect …

Surface flaw inspection is of great importance for quality control in the field of manufacture.
In this paper, a novel surface flaw inspection algorithm is proposed based on adaptive …

The detection of abnormalities is a very challenging problem in computer vision, especially if
these abnormalities must be detected in images of textured surfaces such as textile, stone …

Defects or flaws in highly loaded structures have a significant impact on the structural
integrity. Early inspection of faults can reduce the likelihood of occurrence of potential …

Abstract The Local Binary Pattern (LBP) is a commonly used method for texture classification
that performs well in terms of feature discrimination. However,(1) LBP can misclassify some …