Research of Radiographic Image Enhancement Technology

2013 ◽  
Vol 760-762 ◽  
pp. 1414-1417
Author(s):  
Yan Chen ◽  
Yan Ling Shao ◽  
Zhi Guo Gui
Keyword(s):  
Reference Value ◽  
Local Area ◽  
Local Dynamic ◽  
Coefficient Function ◽  
Radiographic Image ◽  
Radiographic Image Enhancement ◽  
Radiographic Images ◽  
Low Contrast ◽  
Dynamic Enhancement ◽  
New Algorithms

mage enhancement has applied widely in biomedical, nondestructive testing, satellite remote sensing and other fields. Especially for the low contrast radiographic images, usually there are some disadvantages for a radiographic image such as the local area image does not show a striking contrast. In order to improve the clearness of low contrast radiographic images, in this paper we combined global adaptive equalization with local dynamic enhancement,then we simulate this enhancement algorithm. The new method will not only effectively increase the global contrast of low contrast radiographic images, but also intensify local details. Because the new algorithms contrast enhancement coefficient function can be adjusted dynamically and locally, the new algorithms are not only adaptive to the process of radiographic images but also having great reference value to the other grayscale 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.

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. 

A novel method of radiographic image enhancement based on phase symmetry

2019 ◽  
Vol 61 (10) ◽  
pp. 577-583 ◽  
Author(s):  
Yasheng Chang ◽  
Jianmin Gao ◽  
Hongquan Jiang ◽  
Zhao Wang
Keyword(s):  
Image Enhancement ◽  
Visual Inspection ◽  
Human Vision ◽  
Final Decision ◽  
Steam Turbines ◽  
Radiographic Image Enhancement ◽  
Radiographic Images ◽  
Low Contrast ◽  
Comparison Results ◽  
Phase Symmetry

In many important industrial machines, such as nuclear power equipment and steam turbines, the weld quality affects the overall safe operation of the equipment. Although many artificial intelligence (AI)-based technologies are applied to defect recognition using radiographic images, at present the final decision is still made based on human visual inspection. Therefore, it is necessary to enhance the radiographic images to aid the inspection process. In this paper, a method for radiographic testing (RT) weld image enhancement based on phase symmetry, which is based on the principles of human vision, is proposed. Phase symmetry does not depend on the greyscale and contrast information of an image, so it is suitable for RT images with low greyscale values and low contrast. To evaluate the proposed method, 260 RT images acquired by a professional radiographic film digitiser (JD-RDT) and general international RT weld images are used. The results demonstrate that the proposed method can enhance both weld seam and marking information (numbers, letters and symbols), this being suitable for human visual inspection. The proposed method is compared with commonly used methods and the comparison results show that the proposed method achieves an improvement over state-of-the-art methods.

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.

scholarly journals Defect Inspection Based on Segmentation and Defective Tracking in Radiographic Image

2019 ◽  
Vol 8 (4) ◽  
pp. 11228-11236
Keyword(s):  
Orthogonal Polynomials ◽  
Image Enhancement ◽  
Radiographic Image ◽  
Edge Image ◽  
Radiographic Image Enhancement ◽  
Radiographic Images ◽  
Defect Identification ◽  
Enhancement Technique ◽  
Estimation Scheme ◽  
The Masses

In this paper, automatic weld defect segmentation into the radiographic image non-destructive evaluation and testing, with orthogonal polynomials transformation-enhancement (OPT-E) is presented. This proposed system defect identification the given defect Radiographic image. In digital radiographic images, the unknown masses appear very light with weak edges, and hence image enhancement technique needs to be applied with transform domain and radiographic images of some illustrative weld deserts invent. The proposed scheme has three phases. In first phase, a radiographic image enhancement technique, which is performed by logarithmic common variance and enhancement factor, computed from the absolute value of the orthogonal polynomials transformation coefficient as principal parameters for increasing the energy of the masses in the digital radiographic image enhancement. In case of successful enhanced of image in addition to gradient estimation scheme is working to point the edges current, in the next phase. The consequential edge image is again applied with orthogonal polynomials. In the final phase, edge tracking are the salient features with angle based defect identification. Experimental is improved quality of images and high relative segmentation by OPT-E.

scholarly journals Study of Homogeneity and Water Absorption Behavior of Double Layer Silver Gray Tiles Using Film Neutron Radiography Technique

1970 ◽  
Vol 43 (2) ◽  
pp. 197-206
Author(s):  
MK Alam ◽  
MN Islam ◽  
MA Zaman
Keyword(s):  
Water Absorption ◽  
Double Layer ◽  
Optical Density ◽  
Immersion Time ◽  
Building Materials ◽  
Neutron Radiography ◽  
Radiographic Image ◽  
Radiographic Images ◽  
Building Products ◽  
Density Values

Neutron radiography (NR) technique has been adopted to study homogeneity and water absorption behavior of building materials, like double layer silver gray tiles obtained from Concord Real Estate & Building Products, Unit II, Salna, Gazipur, Dhaka, Bangladesh. Measurements of optical density differences between the film background and radiographic images of the dry/wet samples were used for investigation of the present work. The optical density was measured by using the digital optical densitometer (Model 07-424, S-23285, Victoreen Inc. USA). Large variation in optical density values of the radiographic image was observed. From this observation it shows that the rate of water absorption of the tiles increases with increase of immersion time. Through the investigation of radiographic image and subsequently analyzing the optical density we observed that distribution of the elements in the tiles are inhomogeneous. Key words: Homogeneity, Water absorption, Silver gray, Neturon radiography.DOI: 10.3329/bjsir.v43i2.963 Bangladesh J. Sci. Ind. Res. 43(2), 197-206, 2008

Packetized radiographic image transfers over local area networks for diagnosis and conferencing

1989 ◽  
Vol 7 (5) ◽  
pp. 842-856 ◽  
Author(s):  
R. Kositpaiboon ◽  
P. Tsingotjidis ◽  
L.O. Barbosa ◽  
N.D. Georganas
Keyword(s):  
Local Area Networks ◽  
Local Area ◽  
Radiographic Image

Implementation of a Digital Radiographic Image Acquisition and Retrieval System (DRIARS) Using a Wireless Network in an Orthodontic Department

2008 ◽  
Vol 9 (4) ◽  
pp. 115-123 ◽  
Author(s):  
Muralidhar Mupparapu ◽  
Robert E. Binder ◽  
John M. Cummins ◽  
Cecile A. Feldman ◽  
Mark A. Cappelli ◽  
...  
Keyword(s):  
Wireless Network ◽  
Retrieval System ◽  
Wireless Local Area Network ◽  
Local Area Network ◽  
Image Acquisition ◽  
Local Area ◽  
Dental School ◽  
Area Network ◽  
Radiographic Image ◽  
X Ray

Abstract Aim The objective of this report is to describe the implementation and pilot-test of an integrated wireless local area network (WLAN) system that incorporated the Planmeca Promax® CCD based digital panoramic/ cephalometric x-ray system, Dolphin® software, and multiple remote user units to increase the efficiency of data management by the residents in the Department of Orthodontics. Background The Department of Orthodontics of the New Jersey Dental School (NJDS) acquired the Dolphin® cephalometric analysis software and the Planmeca Promax® digital panoramic/cephalometric x-ray units on separate occasions. Dolphin has been in use for many years at this institution, the current version being 10, and the Promax was acquired in the Fall of 2002. The digital panoramic and cephalometric radiographs were acquired and stored separately in the Planmeca's Dimaxis database. Report During the incorporation of the WLAN, there was an opportunity to research and install the best available security system for the WLAN so it could be a network model for the other departments within the dental school and perhaps other dental schools around the nation. Summary Digital radiographs, once obtained, can be stored locally or transmitted securely to remote locations via a local area network. This article describes the selection criteria and methodology that would optimize the transmission and retrieval of such images instantaneously on demand at chair side locations. This will not only save significant clinical time but will enhance the productivity of the clinic in the long run. Citation Mupparapu M, Binder RE, Cummins JM, Feldman CA, Cappelli MA, Matheson PB. Implementation of a Digital Radiographic Image Acquisition and Retrieval System (DRIARS) Using a Wireless Network in an Orthodontic Department. J Contemp Dent Pract 2008 May; (9)4:115-123.

scholarly journals Data mining algorithms in the task of diagnosing the welded joints quality

2019 ◽  
pp. 463-476
Author(s):  
R R Akhmedyanov ◽  
K F Tagirova ◽  
A M Vulfin ◽  
V V Berkholts ◽  
R Ch Gayanov
Keyword(s):  
Welded Joints ◽  
Intelligent System ◽  
Diagnostic System ◽  
Radiographic Image ◽  
Radiographic Images ◽  
Radiographic Method ◽  
Data Mining Algorithms ◽  
Speed Up ◽  
Trained Neural Network ◽  
Mining Algorithms

The paper discusses the issue of creating an intelligent diagnostic system for welded joints based on the radiographic method. This will speed up the process of decoding radiographic images and reduce the number of errors associated with human factors, since at this time most of the work on decoding images is done manually. The goal of the work is to develop an intelligent system for finding defects in a welded joint in a radiographic image using neural networks. The obtained results are the algorithm of operation of the intelligent diagnostic system for welded joints based on the radiographic method, a trained neural network for detecting defects of welded joints.

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