Detection and Application of Hull Weld Quality Based on MATLAB Image Processing

2014 ◽  
Vol 912-914 ◽  
pp. 1509-1512
Author(s):  
Kai Jun Chen
Keyword(s):  
Image Processing ◽  
Ultrasonic Testing ◽  
Texture Features ◽  
X Ray ◽  
Welding Defects ◽  
Testing Technology ◽  
The Cost ◽  
Detecting Method ◽  
Analysis Quality

Proposed on the basis of nondestructive testing technology, such as ultrasonic testing and X-ray detecting, image processing of hull welding based on MATLAB is a simple detecting method to detect the quality of welding. By image processing, physical dimensions, such as circumferences and shapes, as well as the intensity and texture features of welds can be concluded. Then, through numerical analysis, quality problems, including porosities, slags, undercuts, overlaps, welding defects and others, if exist, can be determined. This method decreases the cost and reduces the harm to people’s health. Experimental results showed that the detecting system can calculate and determine the major features of the welds effectively and accurately, and possesses good practical value.

scholarly journals Digital Image Based Identification of Rice Variety Using Image Processing and Neural Network

2015 ◽  
Vol 16 (1) ◽  
pp. 182
Author(s):  
Lilik Sumaryanti ◽  
Aina Musdholifah ◽  
Sri Hartati
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Classification Accuracy ◽  
Rice Variety ◽  
Texture Features ◽  
Rice Varieties ◽  
Food Grains ◽  
Average Accuracy ◽  
Neural Network Algorithm

The increased of consumer concern on the originality of rice  variety and the quality of rice leads to originality certification of rice by existing institutions. Technology helps human to perform evaluations of food grains using images of objects. This study developed a system used as a tool to identify rice varieties. Identification process was performed by analyzing rice images using image processing. The analyzed features for identification consisted of six color features, four morphological features, and two texture features. Classifier used LVQ neural network algorithm. Identification results using a combination of all features gave average accuracy of 70,3% with the highest classification accuracy level of 96,6% for Mentik Wangi and the lowest classification accuracy of 30%  for Cilosari.

scholarly journals A Novel Image Processing Methodology for X-ray Image Compression and Enhancement

2022 ◽  
pp. 1-8
Author(s):  
Calvin Omind Munna
Keyword(s):  
Image Processing ◽  
Mean Squared Error ◽  
Signal To Noise Ratio ◽  
Similarity Index ◽  
X Ray ◽  
Squared Error ◽  
Structure Similarity Index ◽  
Structure Similarity ◽  
Clinical Pictures

Currently, there a growing demand of data produced and stored in clinical domains. Therefore, for effective dealings of massive sets of data, a fusion methodology needs to be analyzed by considering the algorithmic complexities. For effective minimization of the severance of image content, hence minimizing the capacity to store and communicate data in optimal forms, image processing methodology has to be involved. In that case, in this research, two compression methodologies: lossy compression and lossless compression were utilized for the purpose of compressing images, which maintains the quality of images. Also, a number of sophisticated approaches to enhance the quality of the fused images have been applied. The methodologies have been assessed and various fusion findings have been presented. Lastly, performance parameters were obtained and evaluated with respect to sophisticated approaches. Structure Similarity Index Metric (SSIM), Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR) are the metrics, which were utilized for the sample clinical pictures. Critical analysis of the measurement parameters shows higher efficiency compared to numerous image processing methods. This research draws understanding to these approaches and enables scientists to choose effective methodologies of a particular application.

Study on the Die-Attach Voids Distribution With X-Ray and Image Processing Techniques

2019 ◽  
Vol 141 (2) ◽  
Author(s):  
Aleksander Sesek ◽  
Olga Chambers ◽  
Janez Trontelj
Keyword(s):  
Image Processing ◽  
Power Electronic ◽  
Electronic Components ◽  
Power Transistor ◽  
X Ray ◽  
Die Attach ◽  
Void Area ◽  
Manual Interaction ◽  
Processing Techniques

Power electronic components' reliability depends, to a great extent, on the quality of die-attach technology. The voids appearance in the die-attach regions is almost unavoidable during the manufacturing process. The aim of this paper is to demonstrate that image processing tools enable fast and accurate void segmentation, while reducing manual interaction for X-ray monitoring of imperfect power transistor die soldering. The most common void parameters such as void area, void distribution, and shape roundness were extracted and used for statistical analysis.

scholarly journals CONSTANT TIME SCANNING AND BETTER EDGE PRESERVATION FOR BETTER PERFORMING AND QUALITY OF MEDIAN FILTER

2012 ◽  
pp. 114-116
Author(s):  
RITWIK SHARMA ◽  
SHUBHAM HARNAL
Keyword(s):  
Image Processing ◽  
Median Filter ◽  
Median Filtering ◽  
Edge Preservation ◽  
Median Filters ◽  
Novel Approach ◽  
Time Scanning ◽  
The Cost ◽  
Salt And Pepper

The median filter is an important filter in many image processing algorithms and especially in removal of salt and pepper noise. Traditional median filters either focus on improving the performance or the quality of the median filtering. Generally, the methods which optimize performance do so at the cost of quality and vice-versa. In this paper a novel approach to median filtering is presented providing both better performance and quality without sacrificing either. The analysis is presented with respect to image processing and the results obtained are presented in tabular form.

Research on the Automatic Multilevel Thresholding for Athletic Image Segmentation Based on Block Sampling and Genetic Algorithm

2013 ◽  
Vol 791-793 ◽  
pp. 2007-2012
Author(s):  
Xiao Guang Li
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
Meaningful Work ◽  
Image Processing Algorithm ◽  
Computer Image Processing ◽  
Ga Algorithm ◽  
Block Sampling ◽  
The Cost ◽  
Image Segmentation Algorithm

The research on new image segmentation algorithm is a very meaningful work in the processing of image. In the process, it will produce large amount of data redundancy. The efficient algorithm not only can greatly improve the quality of image treatment but also can greatly reduce the time and cost of the treatment. In this context, the paper analyzes several image processing algorithms commonly used in recent years and presents a new computer image processing algorithm--AMT-GA algorithm. In order to verify the effectiveness of AMT-GA algorithm, this paper takes the process of athletics image for example and compares the consistency and time of image segmentation with other literature results and ultimately finds that the consistency of AMT-GA algorithm reaches 0.99. The time in the algorithm execution is only 0.81 which not only achieves effective segmentation of the image but also saves the cost of computing. It also provides a theoretical reference for the research of computer graphics technology.

scholarly journals CURRENT STRATEGY FOR TREATMENT OF COMORBID STATES: COMPLICATED COMMUNITY-ACQUIRED PNEUMONIA WITH ARTERIAL HYPERTENSION

2020 ◽  
Vol 73 (6) ◽  
pp. 1257-1260
Author(s):  
Liliia V. Burya ◽  
Andrii V. Vakhnenko ◽  
Nataliia V. Moiseieva ◽  
Anna A. Kapustianska ◽  
Iryna M. Zviagolska
Keyword(s):  
Functional Limitations ◽  
Social Activity ◽  
Community Acquired Pneumonia ◽  
Cost Of Treatment ◽  
X Ray ◽  
Blood Biochemical ◽  
Combination Drugs ◽  
Prolonged Effect ◽  
The Cost

The aim: To optimize the treatment of CAP patients with hypertension, complicated by exudative pleuritis. Materials and methods: The study included 43 CAP patients, aged 46 to 65 years, with viral lesions along with hypertension. The average age of the patients was 52.5 ± 4.5 years. Verification of the CAP diagnosis and its formulation was performed in accordance with the order of the Ministry of Health of Ukraine No. 128 of 19.03.2007 “On the approval of clinical protocols of medical care in “Pulmonology” in all patients, pneumonia was complicated by exudative pleuritis, which was confirmed by X-ray examination. Results: The use of combination drugs, namely, torasemide with prolonged effect and tivortin aspartate in the treatment of patients with community-acquired pneumonia, complicated by exudative pleuritis, combined with hypertension led to more significant positive changes in the values of saturation, blood biochemical parameters, as well as accelerated recovery of patients, which was confirmed by the positive dynamics of X-ray examination. Conclusions: As a result of the treatment, all parameters of the quality of life of the patients were greatly improved, which resulted in a significant reduction in functional limitations and high social activity of the patients, which significantly reduced the cost of treatment.

scholarly journals Microcomputed X-Ray Tomographic Imaging and Image Processing for Microstructural Characterization of Explosives

Materials ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 4517
Author(s):  
John D. Yeager ◽  
Lindsey A. Kuettner ◽  
Amanda L. Duque ◽  
Larry G. Hill ◽  
Brian M. Patterson
Keyword(s):  
Image Processing ◽  
Automatic Segmentation ◽  
Microstructural Characterization ◽  
X Ray ◽  
Typical Material ◽  
Improve Measurement ◽  
Segmentation Quality ◽  
Processing Techniques

Microstructural characterization of composite high explosives (HEs) has become increasingly important over the last several decades in association with the development of high fidelity mesoscale modeling and an improved understanding of ignition and detonation processes. HE microstructure influences not only typical material properties (e.g., thermal, mechanical) but also reactive behavior (e.g., shock sensitivity, detonation wave shape). A detailed nondestructive 3D examination of the microstructure has generally been limited to custom-engineered samples or surrogates due to poor contrast between the composite constituents. Highly loaded (>90 wt%) HE composites such as plastic-bonded explosives (PBX) are especially difficult. Here, we present efforts to improve measurement quality by using single and dual-energy microcomputed X-ray tomography and state-of-the-art image processing techniques to study a broad set of HE materials. Some materials, such as PBX 9502, exhibit suitable contrast and resolution for an automatic segmentation of the HE from the polymer binder and the voids. Other composite HEs had varying levels of success in segmentation. Post-processing techniques that used commercially available algorithms to improve the segmentation quality of PBX 9501 as well as zero-density defects such as cracks and voids could be easily segmented for all samples. Aspects of the materials that lend themselves well to this type of measurement are discussed.

Welding Defects Classification Based on Multi-Weights Neural Network

2013 ◽  
Vol 820 ◽  
pp. 130-133
Author(s):  
Liang Hua ◽  
Peng Xue ◽  
Jin Ping Tang ◽  
Hui Jin ◽  
Qi Zhang
Keyword(s):  
Neural Network ◽  
Dimensional Space ◽  
Incomplete Fusion ◽  
Geometrical Shape ◽  
X Ray ◽  
Welding Technology ◽  
X Ray Imaging ◽  
Welding Defects ◽  
Defects Classification

Incomplete fusion and incomplete penetration are two types of damage serious welding defects. These two kinds of defects have the similarity in the features in X-ray imaging. Identifying the two kinds of defects automatically and accurately can improve the welding technology and improve the quality of welding effectively. The causes of defects and features of X-ray images are described in the paper. The welding defects calssification method based on multi-weights neural network is put forward in the paper. The multi-weights neural network based on graphic geometry theory is introduced, which uses the geometrical shape in high dimensional space to cover the same class defect samples via constructing multi-weights neural network. The experimental results proved the effectiveness of the algorithm.

scholarly journals PL04: Comparison of the cost and the quality of the care provided to low acuity patients in an emergency department and a walk-in clinic

CJEM ◽  
2019 ◽  
Vol 21 (S1) ◽  
pp. S6 ◽  
Author(s):  
S. Berthelot ◽  
M. Mallet ◽  
D. Simonyan ◽  
J. Guertin ◽  
L. Moore ◽  
...  
Keyword(s):  
Emergency Department ◽  
Low Back Pain ◽  
Back Pain ◽  
Tract Infection ◽  
Vital Signs ◽  
Low Back ◽  
X Ray ◽  
The Cost ◽  
Mean Cost

Introduction: Low acuity patients have been controversially tagged as a source of emergency department (ED) misuse. Authorities for many Canadian health regions have set up policies so these patients preferably present to walk-in clinics (WIC). We compared the cost and quality of the care given to low acuity patients in an academic ED and a WIC of Québec City during fiscal year 2015-16. Methods: We conducted an ambidirectional (prospective and retrospective) cohort study using a time-driven activity-based costing method. This method uses duration of care processes (e.g., triage) to allocate to patient care all direct costs (e.g., personnel, consumables), overheads (e.g., building maintenance) and physician charges. We included consecutive adult patients, ambulatory at all time and discharged from the ED or WIC with a diagnosis of upper respiratory tract infection (URTI), urinary tract infection (UTI) or low back pain. Mean cost [95%CI] per patient per condition was compared between settings after risk-adjustment for age, sex, vital signs, number of regular medications and co-morbidities using generalized log-gamma regression models. Proportions [95%CI] of antibiotic prescription and chest X-Ray use in URTI, compliance with provincial guidelines on use of antibiotics in UTI, and column X-Ray use in low back pain were compared between settings using a Pearson Chi-Square test. Results: A total of 409 patients were included. ED and WIC groups were similar in terms of age, sex and vital signs on presentation, but ED patients had a greater burden of comorbidities. Adjusted mean cost (2016 CAN$) of care was significantly higher in the ED than in the WIC (p < 0.0001) for URTI (78.42[64.85-94.82] vs. 59.43[50.43-70.06]), UTI (78.88[69.53-89.48] vs. 53.29[43.68-65.03]), and low back pain (87.97[68.30-113.32] vs. 61.71[47.90-79.51]). For URTI, antibiotics were more frequently prescribed in the WIC (44.1%[34.3-54.3] vs. 5.8%[1.2-16.0]; p < 0.0001) and chest X-Rays, more frequently used in the ED (26.9%[15.6-41.0] vs. 13.7%[7.7-22.0]; p = 0.05). No significant differences were observed in the compliance with guidelines on use of antibiotics in UTI and in the use of column X-Ray in low back pain. Conclusion: Total cost of care for low acuity patients is lower in walk-in clinics than in EDs. However, our results suggest that quality-of-care issues should be considered in determining the best alternate setting for treating ambulatory emergency patients.

scholarly journals A Novel Image Processing Approach to Enhancement and Compression of X-ray Images

2021 ◽  
Vol 18 (13) ◽  
pp. 6724
Author(s):  
Yaghoub Pourasad ◽  
Fausto Cavallaro
Keyword(s):  
Image Processing ◽  
Performance Metrics ◽  
State Of The Art ◽  
Use Case ◽  
X Ray ◽  
Image Processing Techniques ◽  
Processing Approach ◽  
Comparison Results ◽  
Processing Techniques

At present, there is an increase in the capacity of data generated and stored in the medical area. Thus, for the efficient handling of these extensive data, the compression methods need to be re-explored by considering the algorithm’s complexity. To reduce the redundancy of the contents of the image, thus increasing the ability to store or transfer information in optimal form, an image processing approach needs to be considered. So, in this study, two compression techniques, namely lossless compression and lossy compression, were applied for image compression, which preserves the image quality. Moreover, some enhancing techniques to increase the quality of a compressed image were employed. These methods were investigated, and several comparison results are demonstrated. Finally, the performance metrics were extracted and analyzed based on state-of-the-art methods. PSNR, MSE, and SSIM are three performance metrics that were used for the sample medical images. Detailed analysis of the measurement metrics demonstrates better efficiency than the other image processing techniques. This study helps to better understand these strategies and assists researchers in selecting a more appropriate technique for a given use case.

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