Machine Vision and Applications

Aims & Scope

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.

In particular, original contributions dealing with scientific, commercial, industrial, military, and biomedical applications of machine vision, are all within the scope of the journal.

Particular emphasis is placed on engineering and technology aspects of image processing and computer vision.

The following aspects of machine vision applications are of interest: algorithms, architectures, VLSI implementations, AI techniques and expert systems for machine vision, front-end sensing, multidimensional and multisensor machine vision, real-time techniques, image databases, virtual reality and visualization.

Papers must include a significant experimental validation component.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.3
2024	2.40

Journal Rank

Year	Value
2024	10973

Journal Citation Indicator

Year	Value
2024	1119

SJR (SCImago Journal Rank)

Year	Value
2024	0.530

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	81

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Estimating 3-D rigid body transformations: a comparison of four major algorithms

  Citation: 623

  Authors: D.W., A., R.B.

• Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification

  Citation: 605

  Authors: Naoto, Akio, Takafumi

• Thermal cameras and applications: a survey

  Citation: 598

  Authors: Rikke, Thomas B.

• Recent progress in road and lane detection: a survey

  Citation: 575

  Authors: Aharon, Ronen, Dan, Guy

• A compact algorithm for rectification of stereo pairs

  Citation: 565

  Authors: Andrea, Emanuele, Alessandro

• Super-resolution: a comprehensive survey

  Citation: 554

  Authors: Kamal, Thomas B.

• Straight lines have to be straight

  Citation: 526

  Authors: Frédéric, Olivier

• Deep learning in medical image registration: a survey

  Citation: 487

  Authors: Grant, Uwe, Pingkun

• Recognizing 50 human action categories of web videos

  Citation: 483

  Authors: Kishore K., Mubarak

• Crowd analysis: a survey

  Citation: 433

  Authors: Beibei, Dorothy N., Paolo, Sergio A., Li-Qun

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