Advances in Image Recognition, Image Segmentation, Image Fusion, and Singal Processing

Dear Colleagues,

We are pleased to invite you to contribute to our Special Issue titled "Advances in Image Recognition, Image Segmentation, Image Fusion, and Singal Processing". This research area stands at the forefront of modern computational techniques, offering transformative applications in medical imaging, remote sensing, autonomous vehicles, and more. With rapid advancements in machine learning and deep learning, innovative approaches in image processing and analysis are becoming increasingly critical. In particular, the integration of visual-language models is revolutionizing how systems understand and relate visual content to natural language, while novel grounding segmentation techniques are enhancing object localization by leveraging textual and contextual cues. This Special Issue aims to highlight the latest methodologies and breakthroughs that address both the theoretical and practical challenges in these domains.

This Special Issue aims to gather a collection of high-quality articles that explore advanced techniques and novel applications in image recognition, segmentation, fusion, and signal processing. We aim to foster interdisciplinary collaborations and present research that bridges cutting-edge approaches with real-world applications.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

• Advanced Algorithms for Image Recognition and Classification: Cutting-edge approaches in feature extraction, deep learning models, and performance optimization.
• Innovative Techniques in Image Segmentation: Including traditional methods and deep learning-based segmentation, with a focus on both semantic and instance segmentation.
• Visual-Language Models: Research on models that integrate visual data with natural language processing, enabling richer interpretation of scenes and enhanced human-machine interaction.
• Grounding Segmentation Techniques: Approaches that leverage textual cues and contextual information to improve segmentation accuracy and object localization.
• Methods and Applications in Image Fusion: Integrating data from multiple sources to generate comprehensive images for improved decision-making.
• Novel Developments in Signal Processing: Advanced methodologies for image and multimedia analysis across diverse applications.
• Case Studies and Comparative Evaluations: Empirical studies demonstrating the practical impacts and performance comparisons of state-of-the-art methods.

We look forward to receiving your contributions.

Dr. Xi Yu
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. Electronics 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 2400 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.

• image and video segmentation
• image and video understanding
• visual-language model
• grounding segmentation
• multi-modality (e.g., image, text, and video) learning