Image Analysis and Processing

A special issue of Technologies (ISSN 2227-7080). This special issue belongs to the section "Information and Communication Technologies".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 163

Special Issue Editors

School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China
Interests: artificial intelligence and Internet of Things

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Guest Editor
School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China
Interests: robot theory and algorithms; multimodal perception and learning; Lie groups; Lie algebra

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Guest Editor
School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China
Interests: computer vision; image analysis and processing; deep learning

E-Mail Website
Guest Editor
School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China
Interests: computer vision; image analysis and processing; deep learning
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Special Issue Information

Dear Colleagues,

Image analysis and processing is an important branch in the field of computer vision and artificial intelligence, which focuses on how to use computer technology to efficiently process and analyze images in order to extract useful information and meet the needs of specific applications. This field involves image preprocessing, feature extraction, image segmentation, target recognition, image reconstruction, and other aspects. Through the use of mathematics, physics, statistics, and other methods, image analysis and processing technology plays an important role in medical diagnosis, remote sensing monitoring, security monitoring, industrial automation, digital entertainment, and other fields, which brings convenience to human life and, at the same time, promotes the development of related disciplines.

This Special Issue focuses on some of the recent developments in computer vision, artificial intelligence, image preprocessing, feature extraction, image segmentation, target recognition, and image reconstruction.

Potential topics of this Special Issue include but are not limited to the following:

  • Multimodal image denoising and enhancement;
  • Multimodal image fusion;
  • Image classification and semantic segmentation;
  • Object detection and segmentation;
  • Robot dynamics and control;
  • Human–robot interaction;
  • Robot learning;
  • AI for teaching.

Dr. Xi Li
Dr. Zhongtao Fu
Dr. Yu Shi
Dr. Zhenghua Huang
Guest Editors

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Keywords

  • computer vision
  • artificial intelligence
  • image preprocessing
  • feature extraction
  • image segmentation
  • target recognition
  • image reconstruction

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Published Papers (1 paper)

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23 pages, 5095 KiB  
Article
Human-Machine Interaction: A Vision-Based Approach for Controlling a Robotic Hand Through Human Hand Movements
by Gerardo García-Gil, Gabriela del Carmen López-Armas and José de Jesús Navarro, Jr.
Technologies 2025, 13(5), 169; https://doi.org/10.3390/technologies13050169 - 23 Apr 2025
Viewed by 113
Abstract
An anthropomorphic robot is a mechanical device designed to perform human-like tasks, such as manipulating objects, and has been one of the significant contributions in robotics over the past 60 years. This paper presents an advanced system for controlling a robotic arm using [...] Read more.
An anthropomorphic robot is a mechanical device designed to perform human-like tasks, such as manipulating objects, and has been one of the significant contributions in robotics over the past 60 years. This paper presents an advanced system for controlling a robotic arm using user hand gestures and movements. It eliminates the need for traditional sensors or physical controls by implementing an intuitive approach based on MediaPipe and computer vision. The system recognizes the user’s hand movements. It translates them into commands that are sent to a microcontroller, which operates a robotic hand equipped with six servomotors: five for the fingers and one for the wrist, which stands out for its orthonormal design that avoids occlusion problems in turns of up to 180°, guaranteeing precise wrist control. Unlike conventional systems, this approach uses only a 2D camera to capture movements, simplifying design and reducing costs. The proposed system allows replicating the user’s activity with high precision, expanding the possibilities of human-robot interaction. Notably, the system has been able to replicate the user’s hand gestures with an accuracy of up to 95%. Full article
(This article belongs to the Special Issue Image Analysis and Processing)
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