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International Conference on Disruptive Technologies, Tech Ethics and Artificial Intelligence

DiTTEt 2021: New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence pp 13–21Cite as

A New Algorithm to Generate Image Sets for Classification and Forecasting Problems

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 1410)

Abstract

Image recognition is a well-known and currently addressed problem in Artificial Intelligence. It has many practical applications, including medical image analysis, face recognition, food image analysis and image retrieval, among others. One of the main problems that arises to obtain a model for classification and forecasting is the need to have a sufficiently large set of images to be able to train the model used and subsequently validate it. The search and sorting of the images required to obtain this set is time consuming. In this work, an algorithm is presented that, from a set of images, performs different transformations in terms of shape, color, transparency, perspective, and focus, so that the set of available images is significantly increased and allows training and model validation to be carried out. Considering the proposed transformations, the construction time of the image sets is significantly reduced, and the training model is provided with relevant information for its optimization.

Keywords

  • Algorithm
  • Image
  • Classification
  • Forecasting

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Author information

Authors and Affiliations

  1. Higher Polytechnic School of Zamora (University of Salamanca), 49022, Zamora, Spain

    Jesús-Ángel Román-Gallego, María-Luisa Pérez-Delgado & Rubén Peral Cunillera

Authors
  1. Jesús-Ángel Román-Gallego
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  2. María-Luisa Pérez-Delgado
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  3. Rubén Peral Cunillera
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Corresponding author

Correspondence to Jesús-Ángel Román-Gallego .

Editor information

Editors and Affiliations

  1. Faculty of Science, University of Salamanca, Salamanca, Spain

    Juan F. de Paz Santana

  2. Facultad de Informática, Universidad Pontificia de Salamanca, Salamanca, Spain

    Daniel H. de la Iglesia

  3. Facultad de Informática, Pontifical University of Salamanca, Salamanca, Spain

    Prof. Dr. Alfonso José López Rivero

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Román-Gallego, JÁ., Pérez-Delgado, ML., Cunillera, R.P. (2022). A New Algorithm to Generate Image Sets for Classification and Forecasting Problems. In: de Paz Santana, J.F., de la Iglesia, D.H., López Rivero, A.J. (eds) New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence. DiTTEt 2021. Advances in Intelligent Systems and Computing, vol 1410. Springer, Cham. https://doi.org/10.1007/978-3-030-87687-6_2

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