Bewertung von Oberflächenschäden auf dekorativen Beschichtungen mit digitaler Farbbildanalyse (Optical Surface Defects on Paint Coatings analyzed by Colorimetrically Adjusted Image Analysis)

2002 ◽  
Vol 69 (10/2002) ◽  
Author(s):  
C. Steckert ◽  
K. Witt
Keyword(s):  
Image Analysis ◽  
Surface Defects ◽  
Optical Surface ◽  
Paint Coatings

scholarly journals Automated Control of Surface Defects on Ceramic Tiles Using 3D Image Analysis

Materials ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1250
Author(s):  
Andrzej Sioma
Keyword(s):  
Image Analysis ◽  
Surface Defects ◽  
Three Dimensional ◽  
3D Image ◽  
Ceramic Tiles ◽  
Production Lines ◽  
Automated Control ◽  
Automatic Location ◽  
Surface Image ◽  
Tile Surface

This paper presents a method of acquisition and analysis of three-dimensional images in the task of automatic location and evaluation of defects on the surface of ceramic tiles. It presents a brief description of selected defects appearing on the surface of tiles, along with the analysis of their formation. The paper includes the presentation of the method of constructing a 3D image of the tile surface using the Laser Triangulation Method (LTM), along with the surface imaging parameters employed in the research. The algorithms of three-dimensional surface image analysis of ceramic tiles used in the process of image filtering and defect identification are presented. For selected defects, the method of measuring defect parameters and the method of visualization of defects on the surface are also presented. The developed method was tested on defective products to confirm its effectiveness in the field of quick defect detection in automated control systems installed on production lines.

Spherical optical surface defects digitizing evaluation system

2018 ◽  
Author(s):  
Yihui Zhang ◽  
Fan Wu ◽  
Yongying Yang ◽  
Jian Bai ◽  
Huiting Chai ◽  
...  
Keyword(s):  
Evaluation System ◽  
Surface Defects ◽  
Optical Surface

Application of Hybrid Vision Method for the Hot Aluminium Surface Inspection

2013 ◽  
Vol 199 ◽  
pp. 267-272 ◽  
Author(s):  
Tomasz Giesko ◽  
Piotr Garbacz
Keyword(s):  
Image Analysis ◽  
Temperature Distribution ◽  
Manufacturing Process ◽  
Surface Defects ◽  
Simultaneous Analysis ◽  
Surface Inspection ◽  
Image Analysis System ◽  
Computer Based ◽  
Aluminium Extrusion ◽  
Analysis System

The paper presents the possibilities of a hybrid vision method based on simultaneous analysis of infrared and vision images for surface inspection of hot aluminium in a manufacturing process. The system consists of a NIR/SWIR camera and a high resolution visual camera, and a computer based image analysis system. The simultaneous analysis of infrared and vision images will enable surface inspection for detecting defects in temperature range from 200°C to 600°C. Thermal images present temperature distribution on the surface, and contain information about the manufacturing process. The analysis of thermograms enables to find areas of temperature irregularity caused by increased friction loads, as well as areas of inhomogeneous emissivity caused by surface defects. Furthermore, information captured by the vision camera is used to detect surface defects. The software developed enables the overlaying of images. The proposed simultaneous thermovision and vision imaging can be applied in industry for in-line monitoring of aluminium extrusion processes.

Simulation of microscopic metal surfaces based on measured microgeometry

2017 ◽  
Vol 84 (7-8) ◽  
Author(s):  
Haiyue Yang ◽  
Tobias Haist ◽  
Marc Gronle ◽  
Wolfgang Osten
Keyword(s):  
Ray Tracing ◽  
Metal Surfaces ◽  
Surface Defects ◽  
Training Data ◽  
Surface Inspection ◽  
Approximation Methods ◽  
Optical Surface ◽  
Scalar Diffraction ◽  
Training Samples ◽  
Inspection Systems

AbstractLack of training data is one of the main problems when realizing optical surface inspection systems. In the best case, provision of enough representative training samples is difficult and most of the time expensive. In some cases, it is not possible at all. Here we present an alternative method where the surface defects are simulated. Thereby, we focus on metal surfaces in the microscale where diffraction phenomena start to play a major role. Ray tracing and scalar diffraction approximation methods are applied and compared.

3D simulation for scatter light distribution of optical surface defects

2018 ◽  
Author(s):  
Huiting Chai ◽  
Pengfei Zhang ◽  
Yongying Yang ◽  
Jian Bai ◽  
Yihui Zhang
Keyword(s):  
Surface Defects ◽  
Light Distribution ◽  
3D Simulation ◽  
Optical Surface ◽  
Scatter Light

Simulation Model of Surface Heterogeneity, Using Gielis' Superformula for Adaptive Methods of Image Analysis

2015 ◽  
Vol 237 ◽  
pp. 89-94
Author(s):  
Tomasz Wójcicki
Keyword(s):  
Neural Networks ◽  
Image Analysis ◽  
Surface Defects ◽  
Formal Model ◽  
Surface Characteristics ◽  
Adaptive Methods ◽  
Knowledge Bases ◽  
Geometric Distortion ◽  
Deterministic Models ◽  
Wide Range

The article presents a developed orginal model designed to increase the efficiency of the processes of the design of adaptive image analysis methods used for detection of surface defects in materials. The model was created as part of activities related to the Strategic Program – Specialized knowledge bases and expert systems for the simulation of complex processes. The methods presented in this paper make it possible to accelerate design process, including testing of algorithms developed for a wide range of surface defects, such as: cracks, discoloration, loss of materials, geometric distortion, or even the presence of defect agglomerations caused by corrosion, without the need for the acquisition of the physical image of the actual objects. This in many cases can be a significant problem for engineers who design automatic optical inspection systems, because the acquisition of test objects with specified defects which are characterized by a fixed range of values of selected parameters is not always possible. This paper presents a formal model designed to generate material defects on the surface of three-dimensional virtual objects, which is equivalent to the acquisition of actual data from vision systems. The model takes into account various surface characteristics such as their texture or roughness by using mapping by the Blinn method. The results of the use of the system developed for the classification of products represented in digital images for which image analysis algorithms have been based on so-called artificial intelligence in the form of dedicated neural networks are presented. As described in this paper, artificial neural networks are an example of adaptive models, and provide the ability to solve problems for which there are no deterministic models. The models, however, require the use of learning processes (training) with the use of extensive data sets, which in this case were generated with the use of the developed solution model.

The Use of Texture Analysis in Optical Inspection of Manufacturing Processes

2015 ◽  
Vol 237 ◽  
pp. 95-100 ◽  
Author(s):  
Tomasz Marciniak ◽  
Mirosław Maszewski ◽  
Beata Marciniak ◽  
Zbigniew Lutowski
Keyword(s):  
Image Analysis ◽  
Wavelet Transform ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Test Bench ◽  
Surface Defects ◽  
Ccd Camera ◽  
Manufacturing Processes ◽  
Optical Inspection ◽  
Detection Of Objects

The paper presents a method of optical inspection of manufacturing processes in the visible band. The presented model of the test bench was based on a monochrome CCD camera that allows one to conduct research in the field of digital image analysis. The wavelet transform was proposed for the detection of objects. This wavelet transform allows examining pictures with use of textures. The article presents an analysis of the results of experiments for selected objects using the proposed method, allowing the evaluation of the correctness of classification. In the article, the advantages of using the proposed method in a sample manufacturing process to recognizing surface defects (e.g. cracks or scratches) is discussed.

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