Centre for Computational Imaging and Machine Vision

Centre for Computational Imaging and Machine Vision

Welcome to the Centre for Computational Imaging and Machine Vision!

Our center is dedicated to advancing the field of computational imaging and machine vision through research, innovation, and education. We aim to develop cutting-edge algorithms, methodologies, and technologies that enable intelligent interpretation, analysis, and understanding of visual data. A cutting-edge research institution dedicated to advancing the frontiers of imaging and machine vision technologies. At CCIMV, we harness the power of computational techniques, artificial intelligence, and deep learning to revolutionize the way we capture, process, analyze, and interpret visual data. Machine vision is another core focus of our center. By leveraging artificial intelligence and deep learning algorithms, we enable machines to interpret and understand visual data, mimicking human visual perception.

Our Vision

Our vision of computational imaging and machine vision is to bridge the gap between the physical world and digital systems, enabling machines to perceive, understand, and interact with visual information. This has the potential to revolutionize numerous industries, improve efficiency, enhance safety, and provide new opportunities for innovation and discovery.

Our Mision

  • To develop novel Computer Intelligence systems that can capture images with higher
    resolution, contrast, and depth of field.
  • To develop algorithms that can process images to extract more information, such as 3D shape,
    object identification, and scene understanding.
  • To create intelligent models that combine the power of computational algorithms, data
    analytics, and computer vision to solve real-world problems efficiently and accurately
  • To apply computational imaging and machine vision technologies to a wide range of
    applications, such as robotics, autonomous driving, medical imaging, and security.

Focal Areas

  • Computer Vision Algorithms
  • Evolutionary Computation Algorithms
  • Medical Imaging and Analysis
  • Deep Learning and AI in Vision
  • Machine Vision systems for industrial applications
  • Biologically-inspired Vision Systems
  • Artificial Intelligence in Medicine
  • AI-based Clinical Decision Making
  • Intelligent Computing in Biomedical Sciences
  • Biomedical Engineering
  • Web-Based Delivery of Medical Information
  • Multi-modal image processing
  • Knowledge Engineering and Information Management

Core Team

Dr. K.Mohaideen Abdul Kadhar

Professor,
Department of Electronics and Communication Engineering,
Centre Head.
Email:

Dr. N.Muthukumaran

Professor,
Department of Electronics and Communication Engineering,
Coordinator.

Dr. G.Sathish Kumar

Assistant Professor,
Department of Electronics and Communication Engineering,
Coordinator.

×
Show

    Admission enquiry for the batch 2020