Advanced Machine Vision with Mathematics

Dear Colleagues,

Machine vision technologies have undergone significant advancements in recent years, fueling their widespread applications across various industries. Leveraging computer vision, artificial intelligence, and hardware innovations, these technologies are transforming automation, inspection, and analysis processes. In manufacturing, machine vision is used for quality control, defect detection, and product traceability, enhancing production efficiency and reducing errors. In agriculture, it aids in crop monitoring, pest control, and yield optimization. In healthcare, it supports medical image analysis and diagnosis, improving patient care. The automotive sector relies on machine vision for autonomous vehicles, enabling navigation and obstacle detection. Retail benefits from facial recognition and inventory management, while security employs it for surveillance and access control. Environmental monitoring, robotics, and augmented reality also harness machine vision. With the ever-evolving technology landscape, the potential applications of machine vision continue to expand, offering enhanced precision, efficiency, and innovation across numerous domains.
How to further apply mathematical models, algorithms and techniques in machine vision is an essential problem worthy of study. This special issue aims to invite and publish recent research studies on the latest advances in various intersections of machine vision technologies and applied mathematics, and their recent applications in various industries. Topics include, but are not limited to, the following:

• Image classification;
• object recognition and detection;
• image segmentation;
• feature extraction;
• image registration;
• object tracking;
• 3D vision;
• generative models;
• biometrics;
• deep learning for machine vision;
• visual slam;
• medical imaging;
• other applications of machine vision.

Dr. Longfei Zhou
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 250 words) can be sent to the Editorial Office for assessment.

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. Mathematics 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.