Computer Vision & Image Processing

Computer Vision and Image Processing focuses on the development of algorithms and systems that enable computers to interpret, analyze, and understand visual information from images and videos. This field integrates concepts from artificial intelligence, machine learning, signal processing, and pattern recognition to extract meaningful insights from visual data.

This section welcomes original research articles, review papers, and technical contributions related to the acquisition, enhancement, analysis, and interpretation of digital images and videos. It covers both theoretical advancements and practical applications in real-world systems.

Topics of interest include, but are not limited to:

• Image enhancement and restoration

• Object detection and recognition

• Face detection and facial recognition

• Pattern recognition and feature extraction

• Image segmentation and classification

• Deep learning for computer vision

• Medical image analysis

• Video processing and surveillance systems

• Autonomous vision systems

• Augmented and virtual reality applications

The goal of this section is to provide a platform for researchers and practitioners to present innovative methods and applications that advance the state-of-the-art in computer vision and digital image processing.