scholarly journals Comparison of the Delay in Processing Time and Protective Plastic Cases in Two Phosphor Plate Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Ali Murat Aktan ◽  
Mehmet Ertuğrul Çiftçi ◽  
Faruk Akgünlü
Keyword(s):  
Image Quality ◽  
Processing Time ◽  
The Other ◽  
Phosphor Plate ◽  
Protective Case ◽  
Plastic Case ◽  
Gray Values

Objective. The purpose of this study was to analyze two phosphor plate systems (PSPs) (Dürr Dental, Digora Optime) according to their scanning delay and protective plastic case performances.Methods. Two PSPs using an aluminum step wedge were exposed. These plates were placed in three different protective plastic cases (manufacturers' original cases, black case, and white case) before obtaining the radiographs and were then processed immediately and 1, 5, 10, 30, 60, 120, 240, and 480 min after exposure. Mean gray values (MGVs) of the 3rd, 5th, 7th, and 9th steps of the wedges were compared using ANOVA.Results. Statistically significant differences were found between the two PSPs (). ANOVA revealed that the MGVs of four steps of the wedges were significantly different from each other for all scan delays (). MGVs increased with increasing scanning delay, except the group with Dürr plates in their original cases. Reduction in image quality began 5 min after exposure in the other Dürr plate groups.Conclusions. Within the limitations of the current study, it can be concluded that scanning delay causes a reduction in image quality, and using the manufacturer's original protective case will result in better performance of PSPs.

Benefits of using a photostimulable phosphor plate protective device

2021 ◽  
pp. 20200339
Author(s):  
Graziela de Moura ◽  
Mariana Boessio Vizzotto ◽  
Priscila Fernanda da Silveira Tiecher ◽  
Nádia Assein Arús ◽  
Heraldo Luis Dias da Silveira
Keyword(s):  
Image Quality ◽  
Compressive Load ◽  
Control Group ◽  
Protective Device ◽  
Photostimulable Phosphor ◽  
Plate Size ◽  
Phosphor Plate ◽  
Photostimulable Phosphor Plate ◽  
Post Hoc ◽  
Gray Values

Objectives: To develop and test a protective device (PD) to increase the resistance of photostimulable storage phosphor (PSP) plate to compressive load, and assess the resulting image quality. Methods: Two prototypes, polyvinylchloride sheets of 0.3 mm and 0.7 mm each, were developed for PSP plate size 2. The resistance to compressive load was tested using eight new PSPs divided into four test groups: (1) PSP, (2) PSP and paperboard protector, (3) PSP and 0.3 mm PD, and (4) PSP and 0.7 mm PD. The resulting images were analyzed by three oral radiologists, based on the consensus for image artifacts. Additionally, the objective image quality test was performed with four new PSPs, using an 8-step wedge aluminum scale. The mean gray values and standard deviation were measured in a total of 240 images, and the data were analyzed using analysis of variance with Bonferroni post-hoc test. Results: Artifacts were seen in the PSP control group starting at 40 n, and at 150 n, 175 n and 300 n in 0.3 mm PD, paperboard protector and 0.7 mm PD, respectively. Although there was no statistical difference among groups, there were differences between exposure times (0.06–0.25 s, 0.06–0.40 s, and 0.10–0.40 s). Scanning resolution of 20 lp/mm showed higher mean gray value than 25 and 40 lp/mm (p < 0.05) Conclusion: The developed PDs improved the PSP resistance to compressive forces, with low interference on the pixel gray values, regardless of exposure time and spatial resolution. Nevertheless, the 0.7 mm PD could withstand the maximum compressive load.

scholarly journals DV-DVFS: merging data variety and DVFS technique to manage the energy consumption of big data processing

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Hossein Ahmadvand ◽  
Fouzhan Foroutan ◽  
Mahmood Fathy
Keyword(s):  
Big Data ◽  
Energy Consumption ◽  
Processing Time ◽  
Experimental Results ◽  
The Other ◽  
Data Sets ◽  
Multiple Sources ◽  
Evaluation Phase ◽  
Dynamic Voltage ◽  
Processing Resources

AbstractData variety is one of the most important features of Big Data. Data variety is the result of aggregating data from multiple sources and uneven distribution of data. This feature of Big Data causes high variation in the consumption of processing resources such as CPU consumption. This issue has been overlooked in previous works. To overcome the mentioned problem, in the present work, we used Dynamic Voltage and Frequency Scaling (DVFS) to reduce the energy consumption of computation. To this goal, we consider two types of deadlines as our constraint. Before applying the DVFS technique to computer nodes, we estimate the processing time and the frequency needed to meet the deadline. In the evaluation phase, we have used a set of data sets and applications. The experimental results show that our proposed approach surpasses the other scenarios in processing real datasets. Based on the experimental results in this paper, DV-DVFS can achieve up to 15% improvement in energy consumption.

scholarly journals Performance Evaluation of Automatic Number Plate Recognition on Android Smartphone Platform

2017 ◽  
Vol 7 (4) ◽  
pp. 1973
Author(s):  
Teddy Surya Gunawan ◽  
Abdul Mutholib ◽  
Mira Kartiwi
Keyword(s):  
Character Recognition ◽  
Template Matching ◽  
Optical Character Recognition ◽  
Processing Time ◽  
Intelligent System ◽  
Recognition Rate ◽  
The Other ◽  
Other Hand ◽  
Additional Processing ◽  
Artificial Neural Network Ann

<span>Automatic Number Plate Recognition (ANPR) is an intelligent system which has the capability to recognize the character on vehicle number plate. Previous researches implemented ANPR system on personal computer (PC) with high resolution camera and high computational capability. On the other hand, not many researches have been conducted on the design and implementation of ANPR in smartphone platforms which has limited camera resolution and processing speed. In this paper, various steps to optimize ANPR, including pre-processing, segmentation, and optical character recognition (OCR) using artificial neural network (ANN) and template matching, were described. The proposed ANPR algorithm was based on Tesseract and Leptonica libraries. For comparison purpose, the template matching based OCR will be compared to ANN based OCR. Performance of the proposed algorithm was evaluated on the developed Malaysian number plates’ image database captured by smartphone’s camera. Results showed that the accuracy and processing time of the proposed algorithm using template matching was 97.5% and 1.13 seconds, respectively. On the other hand, the traditional algorithm using template matching only obtained 83.7% recognition rate with 0.98 second processing time. It shows that our proposed ANPR algorithm improved the recognition rate with negligible additional processing time.</span>

Structured Pyramidal Neural Networks

2018 ◽  
Vol 28 (05) ◽  
pp. 1750021 ◽  
Author(s):  
Alessandra M. Soares ◽  
Bruno J. T. Fernandes ◽  
Carmelo J. A. Bastos-Filho
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Processing Time ◽  
Receptive Fields ◽  
Memory Capacity ◽  
The Other ◽  
Support Vector ◽  
Proposed Model ◽  
Novel Method ◽  
Original Approach

The Pyramidal Neural Networks (PNN) are an example of a successful recently proposed model inspired by the human visual system and deep learning theory. PNNs are applied to computer vision and based on the concept of receptive fields. This paper proposes a variation of PNN, named here as Structured Pyramidal Neural Network (SPNN). SPNN has self-adaptive variable receptive fields, while the original PNNs rely on the same size for the fields of all neurons, which limits the model since it is not possible to put more computing resources in a particular region of the image. Another limitation of the original approach is the need to define values for a reasonable number of parameters, which can turn difficult the application of PNNs in contexts in which the user does not have experience. On the other hand, SPNN has a fewer number of parameters. Its structure is determined using a novel method with Delaunay Triangulation and k-means clustering. SPNN achieved better results than PNNs and similar performance when compared to Convolutional Neural Network (CNN) and Support Vector Machine (SVM), but using lower memory capacity and processing time.

Comparison of the image quality and radiation dose of different scanning modes in head-neck CT angiography

2021 ◽  
pp. 20200428
Author(s):  
Tianle Zhang ◽  
Xue Geng ◽  
Dongxue Li ◽  
Yize Xu ◽  
Yongxia Zhao
Keyword(s):  
Body Mass Index ◽  
Image Quality ◽  
Ct Angiography ◽  
The Other ◽  
Signal To Noise ◽  
Dose Length Product ◽  
Gemstone Spectral Imaging ◽  
Ct Dose ◽  
Group B ◽  
Head Neck

Objectives: To analyze and compare the radiation dose and image quality of different CT scanning modes on head-neck CT angiography. Methods: A total of 180 patients were divided into Group A and Group B. The groups were further subdivided according to different scanning modes: subgroups A1, A2, A3, B1, B2, and B3. Subgroups A1 and B1 used conventional CT protocol, subgroups A2 and B2 used the kV-Assist scan mode, and subgroups A3 and B3 used the dual-energy gemstone spectral imaging protocol. The CT dose index and dose–length product were recorded. The objective image quality and subjective image evaluation was conducted by two independent radiologists. Results: The signal-to-noise ratios, contrast-to-noise ratios, and subjective scores of subgroups A3 and B3 were higher than the other subgroups. In subgroups B1 and B2, the subjective scores of 9 patients and 12 patients were lower than 3, respectively. The subjective scores of subgroups B1 and B2 were lower than the other subgroups. There was no statistically significant difference in signal-to-noise ratios, contrast-to-noise ratios, and subjective scores between subgroups A1 and A2. The effective dose of subgroup A2 was 41.7 and 36.4% lower than that in subgroups A1 and A3, respectively (p < 0.05). In Group B, there were no statistically significant differences in CT dose indexvol, dose–length product, and ED among the subgroups (p > 0.05). Conclusion: In the head-neck CT angiography, the kV-Assist scan mode is recommended for patients with body mass index between 18.5 and 34.9 kg m−2; gemstone spectral imaging scanning mode is recommended for patients with body mass index ≥34.9 kg m−2.

Single image haze removal based on fusion darkness channel prior

2017 ◽  
Vol 31 (19-21) ◽  
pp. 1740037 ◽  
Author(s):  
Xifang Zhu ◽  
Ruxi Xiang ◽  
Feng Wu ◽  
Xiaoyan Jiang
Keyword(s):  
Image Quality ◽  
Channel Model ◽  
Input Image ◽  
The Other ◽  
Fusion Method ◽  
Single Image ◽  
Atmospheric Scattering ◽  
Haze Removal ◽  
Correlation Information ◽  
Atmospheric Scattering Model

To improve the image quality and compensate deficiencies of haze removal, we presented a novel fusion method. By analyzing the darkness channel of each method, the effective darkness channel model that takes the correlation information of each darkness channel into account was constructed. This method was used to estimate the transmission map of the input image, and refined by the modified guided filter in order to further improve the image quality. Finally, the radiance image was restored by combining the monochrome atmospheric scattering model. Experimental results show that the proposed method not only effectively remove the haze of the image, but also outperform the other haze removal methods.

scholarly journals A METHOD OF LEUKOCYTE SEGMENTATION BASED ON S COMPONENT AND B COMPONENT IMAGES

2014 ◽  
Vol 07 (01) ◽  
pp. 1450007 ◽  
Author(s):  
YIPING YANG ◽  
YIPING CAO ◽  
WENXIAN SHI
Keyword(s):  
The Other ◽  
Segmentation Result ◽  
Segmentation Method ◽  
Binary Images ◽  
Xor Operation ◽  
Blood Smears ◽  
Segmentation Accuracy ◽  
Leukocyte Segmentation ◽  
Peripheral Blood Smears ◽  
Gray Values

A leukocyte segmentation method based on S component and B component images is proposed. Threshold segmentation operation is applied to get two binary images in S component and B component images. The samples used in this study are peripheral blood smears. It is easy to find from the two binary images that gray values are the same at every corresponding pixels in the leukocyte cytoplasm region, but opposite in the other regions. The feature shows that "IMAGE AND" operation can be employed on the two binary images to segment the cytoplasm region of leukocyte. By doing "IMAGE XOR" operation between cytoplasm region and nucleus region, the leukocyte segmentation can be retrieved effectively. The segmentation accuracy is evaluated by comparing the segmentation result of the proposed method with the manual segmentation by a hematologist. Experiment results show that the proposed method is of a higher segmentation accuracy and it also performs well when leukocytes overlap with erythrocytes. The average segmentation accuracy of the proposed method reaches 97.7% for segmenting five types of leukocyte. Good segmentation results provide an important foundation for leukocytes automatic recognition.

scholarly journals IBPC: An Approach for Mitigation of Cache Pollution Attack in NDN using Interface-Based Popularity

2021 ◽  
Author(s):  
Naveen Kumar ◽  
Shashank Srivast
Keyword(s):  
Quality Of Service ◽  
Processing Time ◽  
The Other ◽  
Named Data Networking ◽  
Pollution Attack ◽  
Cache Pollution ◽  
Data Networking

Abstract The performance of Named Data Networking (NDN) depends on the caching efficiency of routers. Cache Pollution Attack (CPA) refers to colonization of unpopular contents in the Content Store (CS) of an NDN router, which leads to declined Quality of Service (QoS) in NDN. CPA has very few solutions proposed for its mitigation. Most of these solutions are based on the statistics of the router itself. However, an attacker can influence these statistics by requesting unpopular contents repeatedly. This article proposes a new parameter for the detection of CPA, which is based on the number of distinct users requesting interest packets for a content over a period of time. The local popularity of the attackers’ content does not affect the proposed approach. Results show that the proposed approach consumes less storage, reduces processing time, and more effectively mitigates the CPA, as compared to the other existing approaches.

scholarly journals Automatic Stochastic Dithering Techniques on GPU: Image Quality and Processing Time Improved

2020 ◽  
Vol 5 (6) ◽  
pp. 652-663
Author(s):  
Giorgia Franchini ◽  
Roberto Cavicchioli ◽  
Jia Cheng Hu
Keyword(s):  
Image Quality ◽  
Processing Time

scholarly journals A New Method for Colour Image Segmentation

2016 ◽  
Vol 11 (6) ◽  
pp. 860 ◽  
Author(s):  
Gustavo Schleyer ◽  
Gastón Lefranc ◽  
Claudio Cubillos ◽  
Ginno Millán ◽  
Román Osorio-Comparán
Keyword(s):  
Image Segmentation ◽  
Processing Time ◽  
Region Growing ◽  
The Other ◽  
New Method ◽  
Colour Image ◽  
Colour Image Segmentation ◽  
Split And Merge ◽  
Homogeneous Regions

This paper presents an unsupervised algorithm of colour image segmentation. This method combines the advantages of the approaches based on split and merge and region growing, and the use of the RGB and HSV colour representation models. The effectiveness of the proposed method has been verified by the implementation of the algorithm using three different testing images with homogeneous regions, spatially compact and continuous. It was observed that the proposed algorithm outperforms the other analysed techniques requiring shorter processing time when compared with the other methods.

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