Pavement maintenance requires knowing the state of the road surface. Human inspection is the most common method for evaluating this state. Recently, the automated visual inspection has been addressed, but some important questions remain open concerning the variable ambient lighting, shadows, device synchronisation and the large amount of data. In the present paper, an automated visual inspectio...

In automatic surface inspection, one has to solve the problem of detecting small surface defects which locally break the homogeneity of a texture pattern. Textures are generally classified into two major types, structural and statistical [1]. Structural textures are those that are composed of repetitions of some basic texture primitive, such as directional lines, with a deterministic rule of di...

In this paper we present a global approach for the automatic inspection of defects in randomly textured surfaces which arise in sandpaper, castings, leather, and many industrial materials. The proposed method does not rely on local features of textures. It is based on a global image reconstruction scheme using the Fourier transform. Since a statistical texture has the surface of random pattern,...

In this paper a prototype system is described for the management and content-based retrieval of defect images in huge image databases. This is a real problem in surface inspection applications, since modern inspection systems may produce up to thousands of defect images in a day. The retrieval is based on shape and internal structure characteristics of defects, so no manual labeling nor annotat...

Interferometers are normally operated in environment-controlled optical laboratories because vibrations will induce errors in measurement results. In order to extend the application of interferometry to shop floor inspection, two methods are adapted: one method is to introduce a reference interferometer and vibration compensation system to the main interferometer, to compensate for the environm...

In this paper a real-time surface inspection method based on texture features is introduced. The proposed approach is based on the Local Binary Pattern (LBP) texture operator and the Self-Organizing Map (SOM). A very fast software implementation of the LBP operator is presented. The SOM is used as a powerful classifier and visualizer. The efficiency of the method is empirically evaluated in two...

In this paper we present a machine vision system for automatic inspection of defects in textured surfaces found in industry. The defects to be inspected are those that appear as local anomalies embedded in a homogeneous texture. The proposed method is based on a Gabor filtering scheme that computes the output response of energy from the convolution of a textured image with a specific Gabor filt...

In the field of surface inspection, objects in surfaces are detected, classified and labelled. This is important in today’s industry since detecting defects in the raw material is crucial to assure the quality of the merchandise. The thesis discusses the development phases in the automated construction of an image understanding system. It introduces novel techniques for the robust detection of ...

In this research, a simulation system based on physical model and its lighting feature is developed to perform three-dimensional creation, graphics software used randomly generate simulated surface with defects, which also cooperates the virtual environment reproduce original environment. Furthermore, use of generative adversarial network optimize dataset created symmetrically by studied in ord...