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Computer-Assisted Image Processing for Materials Characterization

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Advanced Materials Characterization".

Deadline for manuscript submissions: closed (10 April 2024)

Special Issue Editor


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Guest Editor
1 Department of Photonics, Feng Chia University, 100 Wenhwa Rd., Seatwen, Taichung 40724, Taiwan 2 Digital Optics Center, Feng Chia University, 100 Wenhwa Rd., Seatwen, Taichung 40724, Taiwan
Interests: Information Optics; 3D imaging; Digital holography
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Special Issue Information

It is our honor to present this Special Issue, entitled "Computer-Assisted Image Processing for Material Characterization." This Special Issue will address the application of machine learning in order to assist optical and other inspection methods for the further analysis of material properties. Some potential topics include automated optical inspection, 3D optical inspection, applications of deep learning and machine learning in optical systems, and more. The aim is to develop intelligent and visual inspection techniques that can be employed to explore material properties that could not be detected using conventional methods in the past. These will be available in the foreseeable future for industrial or biomedical applications, aiming to advance academic and industrial development.

Dr. Yu-Chih Lin
Guest Editor

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. Materials is an international peer-reviewed open access semimonthly 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 2600 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

  • Optical inspection
  • machine learning
  • deep learning
  • 3D optical inspection
  • material characterization

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Published Papers

There is no accepted submissions to this special issue at this moment.
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