Digital Radiographic Image Enhancement for Weld Defect Detection using Smoothing and Morphological Transformations

2012 ◽  
Vol 9 (1) ◽  
pp. 15
Author(s):  
Suhaila Abdul Halim ◽  
Arsmah Ibrahim ◽  
Yupiter Harangan Prasada Manurung
Keyword(s):  
Defect Detection ◽  
Test Method ◽  
Radiographic Image ◽  
Radiographic Image Enhancement ◽  
Radiographic Images ◽  
Weld Defect ◽  
Different Types ◽  
Morphological Transformations ◽  
Non Destructive

Accurate inspection of welded materials is important in relation to achieve acceptable standards. Radiography, a non-destructive test method, is commonly used to evaluate the internal condition of a material with respect to defect detection. The presence of noise in low resolution of radiographic images significantly complicates analysis; therefore attaining higher quality radiographic images makes defect detection more readily achievable. This paper presents a study pertaining to the quality enhancement of radiographic images with respect to different types of defects. A series of digital radiographic weld flaw images were smoothed using multiple smoothing techniques to remove inherent noise followed by top and bottom hat morphological transformations. Image quality was evaluated quantitatively with respect to SNR, PSNR and MAE. The results indicate that smoothing enhances the quality of radiographic images, thereby promoting defect detection with the respect to original radiographic images. 

Digital Radiographic Image Enhancement for Weld Defect Detection using Smoothing and Morphological Transformations

2012 ◽  
Vol 9 (1) ◽  
pp. 15
Author(s):  
Suhaila Abdul Halim ◽  
Arsmah Ibrahim ◽  
Yupiter Harangan Prasada Manurung
Keyword(s):  
Defect Detection ◽  
Test Method ◽  
Radiographic Image ◽  
Radiographic Image Enhancement ◽  
Radiographic Images ◽  
Weld Defect ◽  
Internal Condition ◽  
Different Types ◽  
Morphological Transformations ◽  
Non Destructive

Accurate inspection ofweldedmaterials is important in relation to achieve acceptable standards. Radiography, a non-destructive test method, is commonly used to evaluate the internal condition ofa material with respect to defect detection. Thepresence ofnoise in low resolution ofradiographic images significantly complicates analysis; thereforeattaining higher quality radiographic images makes defect detection more readily achievable. This paper presents a study pertaining to the quality enhancement of radiographic images with respect to different types of defects. A series of digital radiographic weld flaw images were smoothed using multiple smoothing techniques to remove inherent noise followed by top and bottom hat morphological transformations. Image quality was evaluated quantitatively with respect to SNR, PSNR andMAE. The results indicate that smoothing enhances the quality ofradiographic images, thereby promoting defect detection with the respect to original radiographic images.

RADIOGRAPHIC IMAGE ENHANCEMENT USING HYBRID ALGORITHM

2016 ◽  
Vol 78 (6-7) ◽  
Author(s):  
Varin Chouvatut ◽  
Ekkarat Boonchieng
Keyword(s):  
Image Quality ◽  
Spatial Resolution ◽  
Computed Radiography ◽  
Median Filter ◽  
Correct Diagnosis ◽  
Image Contrast ◽  
Radiographic Image ◽  
Radiographic Image Enhancement ◽  
Radiographic Images ◽  
Low Contrast

Radiographic image quality is important in the medical field since it can increase the visibility of anatomical structures and even improve the medical diagnosis. Because the image quality depends on contrast, noise, and spatial resolution, images with low contrast, a lot of noises, or low resolution will decrease image quality, leading to an incorrect diagnosis. Therefore, radiographic images should be enhanced to facilitate medical expertise in making correct diagnosis. In this paper, radiographic images are enhanced by hybrid algorithms based on the idea of combining three image processing techniques: Contrast Limited Adaptive Histogram Equalization for enhancing image contrast, Median Filter for removing noises, and Unsharp Masking for increasing spatial resolution. Two series of medical images consisting of 20 x-ray images and 20 computed radiography images are enhanced with this method. Peak Signal to Noise Ratio (PSNR) and image contrast are computed in order to measure image quality. The results indicate that the enhanced images have better PSNR.

scholarly journals Parameters based on X-ray images to assess the physical and physiological quality of Leucaena leucocephala seeds

2018 ◽  
Vol 42 (6) ◽  
pp. 643-652 ◽  
Author(s):  
André Dantas de Medeiros ◽  
Joyce de Oliveira Araújo ◽  
Manuel Jesús Zavala León ◽  
Laércio Junio da Silva ◽  
Denise Cunha Fernandes dos Santos Dias
Keyword(s):  
Leucaena Leucocephala ◽  
High Performance ◽  
Principal Component ◽  
Automated Analysis ◽  
Radiographic Images ◽  
X Ray ◽  
Physiological Quality ◽  
Non Destructive ◽  
Do So

ABSTRACT Non-destructive and high performance analyses are highly desirable and important for assessing the quality of forest seeds. The aim of this study was to relate parameters obtained from semi-automated analysis of radiographs of Leucaena leucocephala seeds to their physiological potential by means of multivariate analysis. To do so, seeds from five lots collected from parent trees from the region of Viçosa, MG, Brazil, were used. The study was carried out through analysis of radiographic images of seeds, from which the percentage of damaged seeds (predation and fungi), and measurements of area, perimeter, circularity, relative density, and integrated density of the seeds were obtained. After the X-ray test, the seeds were tested for germination in order to assess variables related to seed physiological quality. Multivariate statistics were applied to the data generated, with use of principal component analysis (PCA). X-ray testing allowed visualization of details of the internal structure of seeds and differences regarding density of seed tissues. Semi-automated analysis of radiographic images of Leucaena leucocephala seeds provides information on seed physical characteristics and generates parameters related to seed physiological quality in a simple, fast, and inexpensive manner.

Cracking of Heavy Wall Steam Separators During Fabrication: An Investigation

2012 ◽  
Author(s):  
Dilip Kumar ◽  
Luis Ganhao
Keyword(s):  
Cross Section ◽  
High Hardness ◽  
Radiographic Testing ◽  
Weld Defect ◽  
Section Viii ◽  
Carbon Arc ◽  
Recent Project ◽  
Weld Area ◽  
Non Destructive

On a recent project, four high pressure steam separator vessels were received from overseas after fabrication. There was suspicion on the quality of fabrication when non destructive examination (NDE) reports were reviewed. There were major concerns with the quality of radiographic films as they did not meet the ASMe Section VIII Div. 1 Code requirements as well as client specifications. Subsequent examination of welds using radiographic testing (RT) revealed crack-like features around nozzles in the region adjoining (but outside) the weld metal. Macro etching at the surface around nozzles showed that the weld area was extended beyond the apparent weld/base metal interface. Further examination of a cross section cut out from one vessel nozzle confirmed the initial doubts that weld repairs had been performed that were not reported. Metallography of the cross section indicated evidence of significant cracking associated with carbon contamination and very high hardness (up to 365 HV; in one particular case 609 HV) in affected areas. This was believed to be due to improper and incomplete cleaning by grinding after performing carbon arc or, flame gouging to remove a weld defect. Further detailed NDE was carried out using advanced ultrasonic testing (UT), i.e. phased array UT and time of flight diffraction (TOFD) and all defects (many new that were undetected by RT) were repaired per ASME Section VIII Div. 1 Code and client specification. This experience was a lesson for the design office and helped make a decision to be much more vigilant and to ask for greater quality surveillance on overseas fabrication of critical equipment for all future projects. The paper discusses the detailed investigation as well as findings.

scholarly journals KUALITAS SEMEN SAPI PEJANTAN SIMMENTAL DAN LIMOUSIN YANG DIPELIHARA DALAM TIPE KANDANG YANG BERBEDA DI BALAI INSEMINASI BUATAN LEMBANG

ZOOTEC ◽  
2020 ◽  
Vol 40 (2) ◽  
pp. 439
Author(s):  
Bastiana Elvira Lagu ◽  
Endang Pudjihastuti ◽  
Umar Paputungan ◽  
Sri Adiani
Keyword(s):  
High Speed ◽  
Semen Quality ◽  
Mass Movement ◽  
Secondary Data ◽  
Test Method ◽  
Spermatozoa Motility ◽  
Different Types ◽  
Animal House ◽  
Better Than

SEMEN QUALITY OF LIMOUSIN AND SIMMENTAL BULLS MAINTAINED IN DIFFERENT TYPES OF PENS AT THE INSTITUTION OF LEMBANG ARTIFICIAL. The intensive maintenance of bulls included animal house and pens protecting animals against sunlight, cool effect, rain, high speed of win and other predators. Objective of this study was to evaluate effects of single bull in a pen (SB) and double bulls in a pen (DB) on semen quality of Limousin and Simmental bulls at the Institution of Lembang Artificial Insemination in West Java. Primer and secondary data of both bulls reproduction were used in this study and analyzed by t test method. Results showed that average volume of semen in both bulls of Limousin and Simmental under SB (9.54 ± 2.19 mL/ejaculation) was significantly higher of 7.67 percents than those of bulls under DB (8.86 ± 1.79 mL/ejaculation). The average of percentage of spermatozoa motility in both bulls of Limousin and Simmental under DB (71.00 ± 2.67) was not significantly differ with those of bulls under SB (70.10 ± 2.37). The average of spermatozoa mass movement in both bulls of Limousin and Simmental under SB (1.84 ± 0.37) was significantly more aggressive of 5.43 percents than those of bulls under DB (1.94 ± 0.24). Finally, the average of pH of semen in both bulls of Limousin and Simmental under SB (6.66 ± 0.11) was not significantly differ with those of bulls under DB (6.64 ± 0.10). Correlation between reproduction variables of both Limousinand Simmental bulls in SB and DB was not correlated between one and another variables indicated by correlation values ranging from -0.29 to 0.18. Based of the result of study can be concluded that semen quality of Limousin and Simental in single pen was better than that in double pens. The correlations among reproductive veriables of Limousin and Simmental in both sigle and double pens had no correlation between one and another variable. Keyword: Type of Pen, Semen Quality, Simmental Bull, Limousin Bull.

Development of Radiographic Image Classification System for Weld Defect Identification using Deep Learning Technique

2021 ◽  
Vol 12 (5) ◽  
pp. 390-394
Author(s):  
Distun Stephen ◽  
Dr.Lalu P.P
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Neural Network Model ◽  
Classification System ◽  
Radiographic Image ◽  
Radiographic Images ◽  
Defect Identification ◽  
Weld Defect ◽  
Learning Technique ◽  
Welding Defect

Weld defect identification from radiographic images is a crucial task in the industry which requires trained human experts and enough specialists for performing timely inspections. This paper proposes a deep learning based approach to identify different weld defects automatically from radiographic images. To employ this a dataset containing 200 radiographic images labelled for four types of welding defect- gas pore, cluster porosity, crack and tungsten inclusion is developed. Then a Convolutional Neural Network model is designed and trained using this database.

The Non-Destructive Test Method as A Simple Way to Evaluate the Quality Of Metal Core Pcbs for High Power Micro-Assemblies

2017 ◽  
Vol 8 (2) ◽  
pp. 281
Author(s):  
A.V. Sukhanov ◽  
A.I Artemova ◽  
R.S Litvinenko
Keyword(s):  
Quality Control ◽  
Heat Sink ◽  
Poor Quality ◽  
Test Method ◽  
Joint Interface ◽  
Layer By Layer ◽  
Metal Core ◽  
Before And After ◽  
Non Destructive

<p>The article describes the necessity of an incoming quality control of the delivered power electronics elements especially at the stage of choosing a reliable supplier. In particular, in the field of the metal core PCBs production, there is a need to control not only its heat sink parameters, but also to control the quality of the joint interface of the metal core PCBs. Since the use of poor-quality materials or the violation of the technological process by the manufacturer can lead to the defects in the PCBs structure. Thus it can affect the heat sink efficiency and the reliability of the entire assembly. The article proposes and describes the method of nondestructive incoming quality control of metal core PCBs. This method is based on the use of ultrasonic layer-by-layer scanning for obtaining the internal structure of PCBs. The article presents the results of applying this method for the PCBs of various manufacturers. The data of the structure visualization and the influence of environment temperatures changes were also obtained. The result pictures of the tested samples before and after the thermal circling were obtained to study the possible degradation of the PCBs structure and its parameters.</p>

scholarly journals Weld Inspection Based on Radiography Image Segmentation with Level Set Active Contour Guided Off-Center Saliency Map

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Mohamed Ben Gharsallah ◽  
Ezzeddine Ben Braiek
Keyword(s):  
Level Set ◽  
Defect Detection ◽  
Active Contour ◽  
Salient Feature ◽  
Saliency Map ◽  
Radiographic Images ◽  
Low Contrast ◽  
Small Defect ◽  
Weld Defect ◽  
Image Pixels

Radiography is one of the most used techniques in weld defect inspection. Weld defect detection becomes a complex task when uneven illumination and low contrast characterize radiographic images. In this paper we propose a new active contour based level set method for weld defect detection in radiography images. An off-center saliency map exploited as a feature to represent image pixels is embedded into a region energy minimization function to guide the level set active contour to defects boundaries. The aim behind using salient feature is that a small defect can frequently attract attention of human eyes which permits enhancing defects in low contrasted image. Experiment results on different weld radiographic images with various kinds of defects show robustness and good performance of the proposed approach comparing with other segmentation methods.

About Inspection of Marine Shafts and Workpieces

NDT World ◽  
2015 ◽  
Vol 18 (4) ◽  
pp. 49-53
Author(s):  
Хвагин ◽  
Vladimir Khvagin
Keyword(s):  
Base Metal ◽  
Defect Detection ◽  
Flaw Detector ◽  
Operational Procedure ◽  
Emergency Situations ◽  
Regulatory Documents ◽  
Standard Specimens ◽  
Different Types ◽  
Testing Techniques

Introduction to the article gives the overview of vessels’ nowadays condition and emphasizes the necessity of their inspection. The article presents the operational procedure for inspection of blanks for shafts and rudder stocks as well as estimates the capabilities of shipyards to fulfill the inspection. Ways and techniques for different types defect detection are given; the necessary equipment is described; methodology peculiarities for flaw detector adjustment are indicated; recommendations for transducer selection are presented. The standard specimens used for workpiece inspection are described in detail. For used propeller shafts the procedure of preparation a shaft for testing is given as well as the sequence of testing operations including those for shafts with pressed-on bushes. Schemes for base metal testing of shafts, key-seats, shafts with pressed-on bushes, fillet zones are also presented. The article also indicates the regulatory documents according to which the quality of workpieces of shafts and used shafts should be estimated. It is shown by the real examples that timely fulfilled testing prevents emergency situations. The offered testing techniques ensure detection of inadmissible defects.

scholarly journals Triboelectric Nanogenerator-Based Self-Powered Resonant Sensor for Non-Destructive Defect Detection

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3262 ◽  
Author(s):  
Jinkai Chen ◽  
Chi Zhang ◽  
Weipeng Xuan ◽  
Liyang Yu ◽  
Shurong Dong ◽  
...  
Keyword(s):  
Defect Detection ◽  
Triboelectric Nanogenerator ◽  
Force Frequency ◽  
Resonant Frequencies ◽  
Resonant Sensor ◽  
Different Types ◽  
New Type ◽  
Self Powered ◽  
Non Destructive ◽  
Frequency Distance

A triboelectric nanogenerator-based self-powered resonant sensor is proposed and investigated. By integrating an inductor and a microswitch with a triboelectric nanogenerator, a new type triboelectric nanogenerator is obtained, the pulse voltage output is converted to an oscillating signal with a very stable modulated resonant frequency, immune to the cross disturbance of contact-related variation (force, frequency, distance) and environmental variation, such as humidity and temperature. This is utilized for non-destructive defect detection. When the coil inductor scans the surface of a specimen with defects, varying resonant frequencies are obtained for different types of defects, showing excellent consistency between the experimental and simulated results. The results demonstrate the potential of the self-powered TENG-based resonant sensor to be a highly stable and sensitive magnetic sensor for the non-destructive defect detection applications.

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