Announcements and Class Follow-upBelow is a link to material used in class. I also include expected future material if you want to prepare in advance. Introduction to Imaging and Matlab I attached the slides I used on the first class We started Matlab reviews. You may find matlab demos in http://www.mathworks.com/products/matlab/demos.html (I will also hand in some stuff to you next week). Some homework problems will be taken from Gonzalez and Woods book. You can view the webpage of this textbook. You may find there e.g. a solution to one of the coming homework problems. A crash course on Matlab by Tobin Driscoll can be downloaded here In addition to the posted matlab commands, you may find some matlab commands in here We also discussed a recent news item and its data (number of bytes to store it and the 3 wavelengths: near-infrared, visible and near-ultraviolet) SVD For reading on SVD you may use the notes on SVD by Dan Kalman You may view some useful demos for both eigenvectors and singular vectors You may review a file with Matlab commands (in addition to posted commands). Correlation, Convolution and Filters in the Spatial Domain You may review a file with Matlab commands (in addition to posted commands) Another set of slides is in here I attach a file explaining Fig 3.13 in the the slides above Note the definition of correlation is slightly different in the book and cannot explain what is seen in Fig 3.13. Also note that the book is wrong saying that correlation is commutative Some material on numerical differentiation can be found e.g. in here See a file and another file with matlab commands (in addition to posted ones) Fourier Transform, Fourier Series, Discrete Fourier Transform and Filters in the Frequency Domain The attached file summarizes properties of the Fourier transform The attached file summarizes properties of the Discrete Fourier transform A file explaining the Cooley-Tukey algorithm of last week is attached Attached are slides1 and slides2 used in class Attached are notes on Shannon sampling theorem and aliasing Wavelets and More Wavlets were taught in class (currently there is no supplementary material). Additional material of interest: Attached are slides of Mark Iwen used in class Attached are slides on filters
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