Machine Vision and Applications - Springer - Impact Factor

Machine Vision and Applications - Springer | 2024 Impact Factor:2.3 | Cite Score:5.4 | Q2

Impact Factor and Journal Rank of Machine Vision and Applications

About: Machine Vision and Applications journal publishes high-quality, technical contributions in machine vision research and development. It covers all applications and engineering aspects of image-related computing, including original contributions dealing with scientific, commercial, industrial, military, and biomedical applications of machine vision. The journal places particular emphasis on the engineering and technology aspects of image processing and computer vision. Machine Vision and Applications publishes high-quality technical contributions in machine vision research and development. Specifically, the editors encourage submittals in all applications and engineering aspects of image-related computing.
Significance: High-Quality Technical Contributions: Machine Vision and Applications focuses on publishing high-quality technical papers in the field of machine vision research and development.
Broad Application Coverage: The journal covers scientific, commercial, industrial, military, and biomedical applications of machine vision, emphasizing its engineering and technology aspects.
Research and Development Focus: It encourages submissions that advance the state-of-the-art in image-related computing, encompassing both theoretical developments and practical applications.
Industry Relevance: Articles address engineering challenges and technological innovations in image processing and computer vision, catering to a diverse audience including researchers, practitioners, and industry professionals.
Publication Types: Original Research Articles: Contributions that present novel research findings and developments in machine vision.
Technical Papers: Detailed studies on engineering aspects, methodologies, and applications of image-related computing.
Application Studies: Case studies and implementations of machine vision technologies across various domains.
Review Articles: Surveys and reviews that summarize and analyze recent advancements and trends in machine vision research and applications.
Impact and Contribution: Machine Vision and Applications serves as a premier platform for researchers and practitioners to disseminate innovative ideas and solutions in the field of machine vision. By publishing cutting-edge research and fostering collaboration across diverse application domains, the journal plays a pivotal role in advancing the capabilities and applications of image-related computing technologies.

Journal Home: Journal Homepage

Editor-in-Chief: Ying Wu

Scope: Machine Vision and Applications is a peer-reviewed journal that focuses on high-quality technical contributions in the field of machine vision research and development. It covers a broad spectrum of applications and engineering aspects related to image-related computing, encompassing scientific, commercial, industrial, military, and biomedical applications of machine vision. The journal places a strong emphasis on the engineering and technological dimensions of image processing and computer vision.
The journal welcomes submissions that address the following areas:

Applications of Machine Vision:
Scientific, commercial, industrial, military, and biomedical applications
Specific application domains such as robotics, automation, surveillance, healthcare, and agriculture
Engineering Aspects:
Image processing algorithms and techniques
Computer vision methodologies
Machine learning and artificial intelligence applications in vision systems
Sensor and camera technologies
Real-time and embedded vision systems
Technological Innovations:
Advances in hardware and software for machine vision systems
Integration of machine vision with other technologies (e.g., Internet of Things, augmented reality)
Innovations in imaging sensors, optics, and data acquisition
Research and Development:
Original research contributions advancing the field of machine vision
Development of novel algorithms, methodologies, and techniques
Comparative studies and performance evaluations of vision systems