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
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