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Analysis implementation frameworks for the task of image processing

Demenkova T. A.  (Ph.D, associate professor, MIREA - Russian Technological University (Moscow))

Shpieva E. V.  (Postgraduate, MIREA - Russian Technological University (Moscow))

The paper presents the results of research to solve the problem of image processing based on deep learning methods. The analysis of existing frameworks is carried out and the criteria for the choice of solutions for the task are developed. It is shown that the chosen method using deep convolution neural networks can significantly improve the accuracy of image recognition and achieve results that cannot be obtained by classical methods.

Keywords:image processing, deep learning, neural network, computer vision.
 

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Citation link:
Demenkova T. A., Shpieva E. V. Analysis implementation frameworks for the task of image processing // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2019. -№06. -С. 67-69
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