COURSE C11: Soft Computing for Image Processing


Lecturer: prof. Nicholas Kasabov


Syllabus

This course is directed to introduce the basic concepts concerning image processing by using softc omputing approaches.
  • Introduction to image processing: problem definitions
  • Image processing in the human brain
  • Image processing steps . NeuCom
  • Image compression, image representation and feature selection for image processing
  • Statistical methods for image processing and recognition
  • Neural networks for image processing and recognition
  • Support vector machines for image classification
  • Fuzzy rule based systems for image recognition
  • Colour quantisation and face recognition
  • Image (face) membership authentification
  • Handwritten character and static gesture recognition
  • Integrated image and speech recognition

Bibliography