Multifractal detrended fluctuation analysis parallel optimization strategy based on openMP for image processing

Tang, Xiaoyong; Yang, Xiaopan; Wu, Fan

doi:10.1007/s00521-019-04164-2

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…Tang et al [3] Serial and Parallel Technologies with Image Processing Using Inverse Filter Their technique makes use of OpenMP and OpenCV.…”

Section: Discussionmentioning

confidence: 99%

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Parallel Technologies with Image Processing Using Inverse Filter

Alsharhan,

Muheef,

Ibrahim

et al. 2024

JCC

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Real-time capabilities and computational efficiency are provided by parallel image processing utilizing OpenMP. However, race conditions can affect the accuracy and reliability of the outcomes. This paper highlights the importance of addressing race conditions in parallel image processing, specifically focusing on color inverse filtering using OpenMP. We considered three solutions to solve race conditions, each with distinct characteristics: #pragma omp atomic: Protects individual memory operations for fine-grained control. #pragma omp critical: Protects entire code blocks for exclusive access. #pragma omp parallel sections reduction: Employs a reduction clause for safe aggregation of values across threads. Our findings show that the produced images were unaffected by race condition. However, it becomes evident that solving the race conditions in the code makes it significantly faster, especially when it is executed on multiple cores.

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“…Tang et al [3] Serial and Parallel Technologies with Image Processing Using Inverse Filter Their technique makes use of OpenMP and OpenCV.…”

Section: Discussionmentioning

confidence: 99%

“…Tang et al [3] developed a multifractal detrended fluctuation analysis (MF-DFA) program which involves image preprocessing. Then, the performance characteristics of each MF-DFA module were then examined, compared and they explored its parallelism.…”

Section: Literature Reviewmentioning

confidence: 99%

Parallel Technologies with Image Processing Using Inverse Filter

Alsharhan,

Muheef,

Ibrahim

et al. 2024

JCC

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“…The time series analysis of daily temperature [24]. The leaf image feature analysis using multifractal analysis [25].…”

Section: Feature Extraction Using Multifractal Detrended Signal Analymentioning

confidence: 99%

A New Approach to Predict Potential Sleep Disorder based on Fractal Analysis from Non-overlapping Single Lead ECG Using Support Vector Machine

Purnomo¹

2021

IJIES

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Sleep disorders are challenging to diagnose. The complexity of records obtained from electrocardiogram (ECG) recordings requires manual inspection by experienced medical practitioners. Meanwhile, ECG records are still widely used to diagnose heart problems during sleep. To resolve the issue, the fractal analysis is a promising means to help identify the characteristics of non-overlapping apnea and non-apnea events based on signal scaling behaviour and QRS wave morphologies. Therefore, we propose a new approach to develop automatic sleep disorder classification to minimalize visual inspection and manual scoring. We employed the monofractal and the multifractal analyses to generate new features such as alpha1, residue1, alpha2, residue2, Dqmin, Dqmax, hqmin, hqmid, hqmax, and hqmaxhqmin. To improve the proposed method's performance, we used the ten new features that have been extracted, which are eventually being used as inputs space to a support vector machine (SVM). Through examining the feature set, we designed an optimum SVM model classifier to explore the usability of patterns to predict potential sleep disorder corresponding to apnea and non-apnea events. Hence, our approach through SVM with radial basis function (RBF) kernel is achieved to have accuracy, sensitivity, specificity of 92.16%, 88.24%, 94.12% respectively.

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Diagnosis of rolling element bearing based on multifractal detrended fluctuation analyses and continuous hidden markov model

Wang

Guo

2021

J Mech Sci Technol

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Multifractal detrended fluctuation analysis parallel optimization strategy based on openMP for image processing

Cited by 9 publications

References 20 publications

Parallel Technologies with Image Processing Using Inverse Filter

Parallel Technologies with Image Processing Using Inverse Filter

A New Approach to Predict Potential Sleep Disorder based on Fractal Analysis from Non-overlapping Single Lead ECG Using Support Vector Machine

Diagnosis of rolling element bearing based on multifractal detrended fluctuation analyses and continuous hidden markov model

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