Geometrical Characterization of Symmetric and Symmetric Surfaces after Innovative Finishing Technologies

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

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 2009

Special Issue Editors


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Guest Editor
Department of Computer Engineering and Programming, Nosov Magnitogorsk State Technical University, 455000 Magnitigirsk, Russia
Interests: surface quality of metals; machine vision; image recognition

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Co-Guest Editor
Department of Mechanical Engineering, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain
Interests: surface integrity; plastic deformation; surface topology; topological analysis; residual stress
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Special Issue Information

Dear Colleagues,

Current trends in the development of metal quality assessment methods are acquiring new features. These innovations require the consolidation of traditional and new methods for assessing the quality of surfaces that have symmetrical or asymmetrical Surface traits according to their manufacturing history. The quality of the metal surface determines the fulfillment of consumer requirements and the intensive development of production.

This Special Issue of Symmetry publishes articles on the introduction of new technologies in the production of metals while maintaining product quality. We collect materials covering a wide range of topics, including the following: mathematical modeling of surface texture, topological characterization, and in general, all contributions that tackle the theoretical and experimental characterization of symmetrical (i.e., periodical) or asymmetrical surfaces obtained via different manufacturing processes.

Prof. Dr. Oxana Logunova
Prof. Dr. Ramón Jerez Mesa
Guest Editors

Manuscript Submission Information

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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.

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Keywords

  • surface movement
  • regular object shape
  • irregular object shape
  • reflection of the object in the image
  • machine vision system
  • object classification
  • metal surface quality

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Published Papers (1 paper)

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Research

14 pages, 9615 KiB  
Article
An Improved Level Set Method on the Multiscale Edges
by Yao Su, Kun He, Dan Wang and Tong Peng
Symmetry 2020, 12(10), 1650; https://doi.org/10.3390/sym12101650 - 9 Oct 2020
Cited by 3 | Viewed by 1436
Abstract
The level set method can segment symmetrical or asymmetrical objects in real images according to image features. However, the segmentation performance varies with feature scale. In order to improve the segmentation effect, we propose an improved level set method on the multiscale edges, [...] Read more.
The level set method can segment symmetrical or asymmetrical objects in real images according to image features. However, the segmentation performance varies with feature scale. In order to improve the segmentation effect, we propose an improved level set method on the multiscale edges, which combines the level set method with image multi-scale decomposition to form a unified model. In this model, the segmentation relies on multiscale edges, and the multiscale edges depend on multiscale decomposition. A novel total variation regularization is proposed in multiscale decomposition to preserve edges. The multiscale edges obtained by the multiscale decomposition are integrated into the segmentation process, and the object can be easily extracted from a proper scale. Experimental results indicate that this method has superior performance in precision, recall and F-measure, compared with relative edge-based segmentation methods, and is insensitive to noise and inhomogeneous sub-regions. Full article
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