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Journals / International Journal of Applied Mathematics Electronics and Computers / 2026 / Issue: Special Issue-1 Special Issue

Performance Evaluations for OpenMP Accelerated Training Of Separable Image Filter

Süleyman Uzun(BİLECİK ŞEYH EDEBALİ ÜNİVERSİTESİ)
Devrim Akgün(SAKARYA UNIV)
Pages
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Publication Date
2016-12-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Also the effect of population size of genetic algorithm and the number of working cores have been investigated.

📌 3 Key Takeaways

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Objective & Hypothesis:One of the widespread image processing applications is image filtering with two dimensional convolution.
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Key Findings & Data:In this study, OpenMP accelerated training of separable filters that are a subclass of convolution filters has been implemented based on genetic algorithms.
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Conclusion & Impact:Also the effect of population size of genetic algorithm and the number of working cores have been investigated.
🔬Design:Conference Paper
📍Scope:Comprehensive Sample
⚙️Variables:OpenMP · separable filters · image processing

Abstract

One of the widespread image processing applications is image filtering with two dimensional convolution. Determining the weights of image filters are of importance for the success of filtering operation. Heuristic algorithms such as genetic algorithms provide an efficient way of training these types of filters. Due to the high computational cost of repetitive image filtering operations, this process may take hours to implement using single core computing. OpenMP (Open Multi Processing) provides an efficient library for utilizing the computing power of multicore processors. In this study, OpenMP accelerated training of separable filters that are a subclass of convolution filters has been implemented based on genetic algorithms. Comparative speed-up results for various sizes of images using various sizes of filtering kernels were presented. Also the effect of population size of genetic algorithm and the number of working cores have been investigated.

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Cite This Article

Uzun, S., Akgün, D. (2016). Performance Evaluations for OpenMP Accelerated Training Of Separable Image Filter. International Journal of Applied Mathematics Electronics and Computers, Issue: Special Issue-1 Special Issue. https://doi.org/10.18100/ijamec.266173

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