Specialization: Image Processing and Computer Vision
Digital image processing is the use of computer algorithms to perform image processing on digital images. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing. Computer vision is an interdisciplinary field that deals with how computers can be made for gaining high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do. Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images.
The research in this area is focussed on image processing and computer vision, vision and machine learning, mathematical modelling and analysis of images, low level image processing algorithms, medical image analysis and processing, design and development of computer aided diagnostic systems (CAD), medical image reconstruction, features extraction and selection, pattern recognition and classification, soft computing, video surveillance, biometrics, video processing, image forensics, and gait recognition.
Sub Areas under Computer Vision:
- Image Processing, Computer Vision
- Computer Vision and machine learning
- Medical image analysis and CAD
- Low level Image analysis
- Pattern recognition, Pattern Classification, Soft Computing
- Video Surveillance
- Biometrics
- Information Forensics and Security
