Trends and Prospects in Image Processing with Symmetry/Asymmetry

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

Deadline for manuscript submissions: 31 August 2024 | Viewed by 195

Special Issue Editors

Dr. Zaidao Wen
E-Mail Website
Guest Editor
School of Automation, Northwestern Polytechnical University, Xi'an, China
Interests: machine learning; machine vision
Prof. Dr. Guanying Huo
E-Mail Website
Guest Editor
College of Internet of Things Engineering, Hohai University, Changzhou 213022, China
Interests: sonar image target detection and recognition; Artificial Intelligence

Special Issue Information

Dear Colleagues,

Advances in image processing with symmetry/asymmetry have significantly contributed to the development of computer vision and pattern recognition applications.

Symmetry detection plays a crucial role in various computer vision tasks, such as object recognition, scene understanding, and image retrieval. Traditional approaches to symmetry detection have primarily relied on manually designing specific features or utilizing handcrafted algorithms. However, recent advancements in deep learning have revolutionized this field. Convolutional neural networks (CNNs) have been effectively employed to automatically learn discriminative representations for symmetry detection. These networks can capture complex patterns and hierarchies in images, enabling the improved performance of symmetry detection algorithms.

Moreover, studies focused on asymmetry analysis have also gained substantial attention. Asymmetry is an essential characteristic in various domains, including medical imaging, biological systems, and art analysis. Detecting and quantifying asymmetry can provide valuable insights into the underlying structures and functions of objects or scenes. Researchers have explored various techniques, ranging from traditional mathematical models to deep-learning-based methods, to extract and analyze asymmetry in images. These advancements have not only facilitated asymmetry detection, but also enabled the development of applications such as facial expression recognition, anomaly detection, and texture analysis.

In addition to symmetry and asymmetry detection, researchers have also made significant progress in the field of image synthesis using symmetry transformations. Image synthesis refers to the process of generating new images based on existing ones or a set of predefined patterns. By leveraging symmetry transformations, researchers have developed algorithms that can generate visually pleasing and realistic images. These algorithms find applications in several domains, including graphics, virtual reality, and augmented reality, enabling the creation of natural-looking and immersive visual experiences.

Overall, the recent advances in image processing with symmetry/asymmetry have generated new possibilities in the fields of computer vision, pattern recognition, and image synthesis. These advancements have not only enhanced the accuracy and efficiency of existing algorithms, but also facilitated the development of innovative applications with wide-ranging potential in various domains.

Dr. Zaidao Wen
Prof. Dr. Guanying Huo
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

  • symmetry detection
  • symmetric patterns
  • asymmetry analysis
  • image segmentation
  • image recognition
  • texture synthesis
  • object detection
  • anomaly detection
  • scene understanding
  • medical image analysis
  • visual perception
  • algorithms
  • computer vision
  • robotics
  • aesthetics
  • pattern recognition
  • image enhancement
  • feature extraction
  • image manipulation
  • visual symmetry

Published Papers

This special issue is now open for submission.
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