EE 295 Course material (Spring 2008)

EE-295 Course Orghanization

Signals & Systems (An Introduction)

We have permission to use these notes. They provide a basic introduction to 1-D digital signal processing techniques.

Course Notes (preliminary)

We have permission to use these notes. They provide a basic introduction to 2-D image processing techniques.

EE 295 Homeworks (Spring 2008)

Homework No.1

Homework No.2



EE 295 Labs. (Spring 2008)

Lab1 - Working with Images in MATLAB

Lab 2 - Image Enhancement

Lab 3 - Entropy, Mutual Information and Image Registration

Lab 4 - Modelling Noise & 2-D Filters

Lab 5 - Deconvolution Using Wiener Filtering

Lab 6 - Feature Extraction Using the Radon Transform

Lab 7 - Image Registration, Morphological Reconstruction and Object Recognition




EE-276 Labs. (Spring 2006)

Images

Lab 1 - Working with images in MATLAB

Lab 2 - Image Enhancement

Lab 3 - Entropy Coding

Lab 4 - Gaussian & Gauss-Markov Processes

Lab 5 - Noise and 2-D Filtering

Lab 6 - Image Restoration

Lab 7 - Feature Extraction using Segmentation and Edge Detection

Lab 8 - Feature Extraction using Radon Transform

Lab 9 - The Canny Edge Detector




EE-276 Labs. (Fall 2003)

Lab 1

Lab 2

Lab 3

La b 4

Notes on Random Processes

Notes on the Wiener filter



MATLAB Labs (preliminary)
These are a set of 10 Labs currently being offered in a MathWorks course in Image Processing. Video processing is also included. I expect that the Lab portion of EE-276 will contain all o f our previous Labs (Fall 2003) and selections from the MathWorks Labs. The manual with a detailed description of the MathWorks Labs is available.