EVALUATION OF SURFACE DEFECTS OF PRODUCTS USING DIGITAL TECHNOLOGIES

The suggested approach provides an opportunity under the conditions of enterprises to give a comprehensive view of products defects and functional coatings imperfections. The application of the computer program developed in the Microsoft Visual Studio environment, which allows digital image processing of the studied surfaces to estimate the area of external defects of materials, regardless of the nature of the origin of defects and the method of image acquisition, is proved. Research methods. Digital images of metal surfaces and coatings obtained by energy dispersive microanalysis, electron and optical microscopy have been tested. Research results and novelty. The possibility of using the program for evaluation of surface bands with local chemical and morphological inhomogeneities, determination of the porosity of materials is shown. The possibility of express evaluation of digital images of objects at macro-, meso- and microstructural levels for automated diagnostic control of surface defects within 1-2 seconds is implemented. Disaggregation of brightness, texture and color components of the image significantly increases the speed and efficiency of image processing structures. Conclusions: The proposed program is versatile, does not require special user skills and serves as a convenient tool for analyzing and controlling the quality of objects of various physico-chemical nature. The results of the study indicate that the application of the developed computer program makes effective quantitative calculation of the area of local defects, areas of distribution of chemical elements, various inclusions, surface porosity of products and coatings possible.

Download Full-text

Methodology of Digital Image Acquisition and Digital Inspection for Liquid Penetrant and Magnetic Particle Testing

Recent Advances in Nondestructive Evaluation Techniques for Material Science and Industries ◽

10.1115/pvp2004-2840 ◽

2004 ◽

Author(s):

Tetsuo Taguchi ◽

Masako Mori ◽

Michiaki Kurosaki ◽

Mikio Takagi

Keyword(s):

Image Processing ◽

Support System ◽

Digital Image ◽

Magnetic Particle ◽

Surface Defects ◽

Digital Images ◽

Visual Resolution ◽

Calibration Methods ◽

Remote Inspection ◽

Visual Conditions

Liquid Penetrant Test (PT) and Magnetic Particle Test (MT) are widely used in industry to detect surface defects. It is extremely important to maintain the repeatability and reproducibility of PT and MT so that they are able to detect any defect that might affect the quality of a product, especially the weld joints of welded structures. In the present paper, calibration methods for visual conditions for PT and MT are proposed with the use of a visual resolution gauge. In addition, a “PT/MT support System” applying digital image processing techniques, which enables us to perform “Remote Inspection” is proposed. A visual resolution gauge is a transparent plate on which line pairs are printed with equivalent hue to the indications of PT and MT, which ensures proper resolution for visual testing. In Japan, the standard for calibration methods for visual conditions using these resolution gauges for PT and MT were published in the Japanese Industrial Standards (JIS) Z 2340 in 2002. By applying these visual resolution gauges, we developed a “PT/MT support system.” In this system, the PT or MT digital images, which are captured by digital camera with resolution gauges, are converted into hue and saturation data by image processing. These images are then divided into two categories of defects and false indications. This is useful in detecting defects and establishing standard evaluation criteria. Furthermore, this will also enable “Remote Inspection,” which is a method in which PT and MT digital images are observed from remote place (as opposed to direct observations). This enables the possibility of inspections being performed from remote places and manufacturers, inspectors, customers, and government inspectors in remote areas can share the inspection results as electronic data.

Download Full-text

DIAGNOSING QUALITY OF FRICTION SYSTEMS OF MECHANISMS OF DEVICES

Issues of radio electronics ◽

10.21778/2218-5453-2019-7-10-13 ◽

2019 ◽

Vol 1 (7) ◽

pp. 10-13

Author(s):

D. Yu. Ershov ◽

I. N. Lukyanenko ◽

E. E. Aman

Keyword(s):

Surface Defects ◽

Diagnostic Methods ◽

Design Parameters ◽

Diagnostic Model ◽

Mechanical Assemblies ◽

Local Defects ◽

Relationship Of ◽

The Relationship ◽

Production And Operation

The article shows the need to develop diagnostic methods for monitoring the quality of lubrication systems, which makes it possible to study the dynamic processes of contacting elements of the friction systems of instrument mechanisms, taking into account roughness parameters, the presence of local surface defects of elements and the bearing capacity of a lubricant. In the present article, a modern diagnostic model has been developed to control the quality of the processes of production and operation of friction systems of instrument assemblies. With the help of the developed model, it becomes possible to establish the relationship of diagnostic and design parameters of the mechanical system, as well as the appearance of possible local defects and lubricant state, which characterize the quality of friction systems used in many mechanical assemblies of the mechanisms of devices. The research results are shown in the form of nomograms to assess the defects of the elements of friction mechanisms of the mechanisms of the devices.

Download Full-text

Digital processing of leaf area of soybeans, subjected to different treatments of seeds

Scientific Electronic Archives ◽

10.36560/1332020835 ◽

2020 ◽

Vol 13 (3) ◽

pp. 24

Author(s):

M. L. V. Passos ◽

J. B. C. Souza ◽

E. A. Silva ◽

C. A. A. C. Silva ◽

W. S. Sousa ◽

...

Keyword(s):

Image Processing ◽

Computer Program ◽

Leaf Area ◽

Seed Treatment ◽

Digital Camera ◽

Digital Processing ◽

Thiophanate Methyl ◽

Beneficial Effects ◽

Non Destructive

Digital image processing, when applied to the study of leaf area, allows the integration of the direct measurement and non-destructive, and thus preserves the integrity of the plant. The objective was the quantification of the leaf area of soybean, cv. FTS Paragominas RR, submitted to different treatments of seed with the use of the computer program ImageJ, and basic presuppositions of image processing. The experiment was conducted at the Center of Agrarian Sciences and Environmental, Federal University of Maranhão, in Chapadinha (MA), in the period from February to June 2018. The seeds of soybean 'Paragominas RR' were submitted to the technique of seed treatment, consisting of three fungicides of the active ingredients, thiophanate methyl + fluazinam, fludioxonil and carbendazim + tiram, an insecticide active ingredient fipronil and the control. The leaf area was analyzed in the growth phase, through the use of digital camera and ImageJ®. The use of the routines in the computer program ImageJ® were effective for the determination of leaf area of the soybean submitted to different treatments of the seed. The thiophanate methyl + fluazinam in the dose 200 mL per 100 kg of seeds showed beneficial effects on growth of the cv. FTS Paragominas RR, as estimated by the leaf area.

Download Full-text

Marker-guided auto-landing on a moving platform

International Journal of Intelligent Unmanned Systems ◽

10.1108/ijius-10-2016-0008 ◽

2017 ◽

Vol 5 (1) ◽

pp. 28-42 ◽

Cited By ~ 4

Author(s):

Iryna Borshchova ◽

Siu O’Young

Keyword(s):

Image Processing ◽

Visual Servoing ◽

Low Cost ◽

Field Tests ◽

Processing Algorithm ◽

Prototype System ◽

Image Processing Algorithm ◽

Suggested Approach ◽

Content Type ◽

Moving Platform

Purpose The purpose of this paper is to develop a method for a vision-based automatic landing of a multi-rotor unmanned aerial vehicle (UAV) on a moving platform. The landing system must be highly accurate and meet the size, weigh, and power restrictions of a small UAV. Design/methodology/approach The vision-based landing system consists of a pattern of red markers placed on a moving target, an image processing algorithm for pattern detection, and a servo-control for tracking. The suggested approach uses a color-based object detection and image-based visual servoing. Findings The developed prototype system has demonstrated the capability of landing within 25 cm of the desired point of touchdown. This auto-landing system is small (100×100 mm), light-weight (100 g), and consumes little power (under 2 W). Originality/value The novelty and the main contribution of the suggested approach are a creative combination of work in two fields: image processing and controls as applied to the UAV landing. The developed image processing algorithm has low complexity as compared to other known methods, which allows its implementation on general-purpose low-cost hardware. The theoretical design has been verified systematically via simulations and then outdoors field tests.

Download Full-text

An Algorithmic Approach Based on CMS Edge Detection Technique for the Processing of Digital Images

Examining Fractal Image Processing and Analysis - Advances in Computational Intelligence and Robotics ◽

10.4018/978-1-7998-0066-8.ch013 ◽

2020 ◽

pp. 252-272

Author(s):

Kalyan Kumar Jena ◽

Sasmita Mishra ◽

Sarojananda Mishra

Keyword(s):

Image Processing ◽

Edge Detection ◽

Digital Image Processing ◽

Digital Images ◽

Color Images ◽

Experimental Results ◽

Detection Technique ◽

Algorithmic Approach ◽

Current Scenario ◽

Edge Detection Method

Research in the field of digital image processing (DIP) has increased in the current scenario. Edge detection of digital images is considered as an important area of research in DIP. Detecting edges in different digital images accurately is a challenging work in DIP. Different methods have been introduced by different researchers to detect the edges of images. However, no method works well under all conditions. In this chapter, an edge detection method is proposed to detect the edges of gray scale and color images. This method focuses on the combination of Canny, mathematical morphological, and Sobel (CMS) edge detection operators. The output of the proposed method is produced using matrix laboratory (MATLAB) R2015b and compared with Sobel, Prewitt, Roberts, Laplacian of Gaussian (LoG), Canny, and mathematical morphological edge detection operators. The experimental results show that the proposed method works better as compared to other existing methods in detecting the edges of images.

Download Full-text

Automatic Detection of Surface Defects in Industrial Materials Based on Image Processing

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i3.34.18717 ◽

2018 ◽

Vol 7 (3.34) ◽

pp. 61

Author(s):

R Srividhya ◽

K Shanmugapriya ◽

K Sindhu Priya

Keyword(s):

Machine Learning ◽

Image Processing ◽

Surface Defects ◽

Processing Method ◽

Automated Detection ◽

Image Construction ◽

Good Classification ◽

Industrial Materials ◽

Manual Calculation ◽

Visible Defect

In the field of industry, corrosion and defects are amongst the most frequent operations. Industrial Materials have periodic defects that are difficult to detect during production even by experienced human inspectors. Defects are difficult to detect during production even by experienced human inspectors. Usually, the colour transfer process contains an image segmentation phase and an image construction phase. Therefore, we introduce an image processing method for automatically detecting the defects in surfaces. We show how barely visible defect can be optically enhanced to improve annual assessment as well as how descriptor-based image processing and machine learning can be used to allow automated detection. Image enhancement is performed by applying manual calculation. We implement this simulation using MATLAB R2013a. Results show that the proposed allows training both tested classifiers with good classification rates around 98.9%.

Download Full-text

Computing projections of digital images in image processing pipeline architectures

IEEE Transactions on Acoustics Speech and Signal Processing ◽

10.1109/tassp.1987.1165123 ◽

1987 ◽

Vol 35 (2) ◽

pp. 198-207 ◽

Cited By ~ 10

Author(s):

J. Sanz ◽

E. Hinkle

Keyword(s):

Image Processing ◽

Digital Images ◽

Processing Pipeline

Download Full-text

A New Method for Quantitative X-Ray Fluorescence Analysis of Mixtures of Oxides or Other Compounds by Empirical Parameter Methods

Advances in X-ray Analysis ◽

10.1154/s0376030800012696 ◽

1982 ◽

Vol 26 ◽

pp. 351-354 ◽

Cited By ~ 2

Author(s):

Michael Mantler

Keyword(s):

Computer Program ◽

Chemical Elements ◽

Fluorescence Analysis ◽

Theoretical Background ◽

New Method ◽

Fundamental Parameter ◽

Mathematical Methods ◽

Empirical Parameter ◽

X Ray ◽

New Type

Two principal mathematical methods are used for quantitative XRFA: fundamental parameter calculations and the evaluation of empirical parameter equations. A comprehensive computer program based upon fundamental parameter equations was introduced in 1976 by D. Laguitton and M. Mantler (LAMA-I) and improved by T. C. Huang in 1979 (LAMA-II). The present paper describes the features of the theoretical background of a computer program using a new type of empirical (alpha*-) parameter equations. It is essentially designed for convenient analysis of compounds including those containing chemical elements, that cannot be directly measured by conventional X-ray spectrometers, such as oxides, nitrides, and others. The program also communicates automatically with LAMA in order to establish theoretical tables of alpha*-coefficients as well as conventional alpha-coefficients.

Download Full-text