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In this research project, our aim is to study the differences in performance of a modern image processing algorithm on these two hardware platforms.
The combination of modern image processing and cluster algorithms offers the ability to distinguish between the different properties of the flame.
Modern advancements in configurable hardware, most notably Field-Programmable Gate Arrays (FPGAs), have provided an exciting opportunity to discover the parallel nature of modern image processing algorithms.
Any modern image processing software should at least support TIFF format.
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In this paper, we develop a color-based automatic control system for roasting chicken industry by using the modern Combi Oven and new image processing techniques.
Modern image-processing technology has made the rebuilding job a lot easier.
Advanced image processing capabilities are being explored.
Modern MRI image processing methods have yielded quantitative, morphometric, functional, and structural assessments of the human brain.
The combination of modern imaging modalities with image processing and analysis, and mathematical models opens up a promising new approach towards a quantitative understanding of pathologies and of disease processes.
The proposed method is designed in a way to be highly suitable for modern applications of image processing, which is a treatment of large datasets composed of 3D, high-resolution images and taking advantage of multi-processor execution environments.
The Tiansi [9] algorithm in this work was used to validate whether the proposed method is indeed efficient or not and also to confirm that the use of fractional calculus in modern signal and image processing is in general efficient.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com