Methods for Image Processing

Laboratory activities

Basic concepts 1
Basic concepts 2: file I/O
Exercise 1: load the data from file and operate some simple processing.
Matlab programming: Data type and data structures
Images representation
- satellite_gray.jpg
- teethwhitening_Woman_Smile_small.jpg
Exercise 2: load an image and display it.
Exercise 3: load a depth map and transform it into a gray-level image.
Exercise on HDR images: load a sequence of pictures and obtain a virtual picture.
Intensity transformations: reproduce the basic intensity transformations.
Topological structure of images: analize an image and identify those pixels that belong to a given region.
Equalization: load an image and enhance the contrast using histogram equalization techniques.
Contrast enhancement based on local statistics : implementation of the local statististics based processing.
Spatial domain filtering: load an image and apply some spatial sharpening filters.
Bilateral filtering: load an image and experiment different set-ups of a bilateral filter.
Frequency domain filtering: load an image and apply some filters in the frequency domain.
Homomorphic filtering: load an image and apply the homomorphic filter in the frequency domain.
Morphological processing: load an image and apply some morphological operations.
Edge detection: load an image and detect the main edges.
Segmentation: load an image and detect the main regions.