Machine vision is the science of interpreting the environment through visual information sensed by the camera, and machine learning is the art of using the sensed data for developing artificial intelligence. Machine vision and machine intelligence is one of the leading research fields today. This belongs to the automation of systems by merely sensing the environment. The digital world has open ways to build big data. A large amount of such data is in the form of images; and image processing is the technique to discover it in novel ways. The machine senses the scene based on sensors including digital cameras. It learns from the sensed data and develops intelligence based on mathematical hypothesis, which leads it to autonomous decision making.
Areas of Research
The faculty and graduate students at research group are involved in the broad range of research activities. The group activities fall under the following major research areas.
- Applied Machine Learning (Regression, Classification, Forecasting, Data Visualization and Analysis – Application on broader horizon of electrical and computer engineering)
- Digital Image Processing (Enhancement, Feature extraction)
- Computer Vision (Detection, Recognition, Segmentation)