Symmetry/Asymmetry Advances in Visible and Thermal Imaging

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 137

Special Issue Editors


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Guest Editor
Artificial Intelligence Systems Applied to Biomedical and Mechanical Models, Faculty of Engineering, Autonomous University of Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, Col. San Cayetano, San Juan del Rio 76807, Queretaro, Mexico
Interests: artificial intelligence; artificial vision; image processing; computer vision; thermography and mechatronics

E-Mail Website
Guest Editor
Mechatronics, Faculty of Engineering, Autonomous University of Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, Col. San Cayetano, San Juan del Rio 76807, Queretaro, Mexico
Interests: artificial intelligence; artificial vision; image processing; computer vision; thermography and mechatronics
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Special Issue Information

Dear Colleagues,

Symmetry/asymmetry is a very important issue in visible and thermal imaging, as it allows us to know whether there is balance or repetition of a structure or pattern within an image in relation to an axis or reference point. Some applications include the detection and recognition of shapes, objects, or patterns, as well as analysis and diagnosis, among others. Similarly, the areas of application could be in medical imaging, security, quality, or engineering, just to name a few. Specifically, thermographic images allow us to know whether a thermal equilibrium exists between areas or regions of interest, increasing the accuracy of analysis, as thermal asymmetry may indicate a change, defect, or anomaly. On the other hand, artificial intelligence has also had an impact in this field, allowing the integration of machine learning or deep learning techniques together with visible and thermal imaging to obtain symmetries or asymmetries directly. For these reasons, the aim of this Special Issue is to publish novel scientific articles on advances in symmetry/asymmetry in visible and thermal imaging. Finally, it is important to note that it is not limited to any technique or application, so all original articles and reviews that meet the main objective are welcome.

Prof. Dr. Irving A. Cruz-Albarran
Prof. Dr. Luis Alberto Morales-Hernández
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • image processing
  • computer vision
  • artificial vision
  • artificial intelligence
  • machine learning
  • deep learning
  • thermography
  • thermal imaging
  • thermogram

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Published Papers

This special issue is now open for submission.
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