ECE415 < ECE

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| | <strong><font face="Arial,Helvetica"><font color="#000099"><font size="+1">ECE 415 - Image Analysis and Computer Vision I</font></font></font></strong> |
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</td> </tr> <tr align="LEFT" valign="TOP"> <td><font face="Arial, Helvetica, sans-serif"><font size="-1"> *Description:* Credit 3U/4G. Image formation, geometry and stereo. Two-dimensional image analysis by fourier and other 2D transforms. Image enhancement, color, image segmentation, compression, feature extraction, object recognition.</font></font>

<font face="Arial, Helvetica, sans-serif"><font size="-1"><strong>Prerequisite:</strong> </font></font>MATH 310; or grade of C or better in ECE 310

<strong><font face="Arial, Helvetica, sans-serif"><font size="-1">Topics:</font></font></strong>
<blockquote><font face="Arial, Helvetica, sans-serif"><font size="-1">1. Elements of Image Processing Systems </font></font>

<font face="Arial, Helvetica, sans-serif"><font size="-1">2. Human Visual System</font></font>

<font face="Arial, Helvetica, sans-serif"><font size="-1">3. Imaging Geometry - Affine and Perspective Transforms </font></font>

<font face="Arial, Helvetica, sans-serif"><font size="-1">4. Stereo Imaging </font></font>

<font face="Arial, Helvetica, sans-serif"><font size="-1">5. Image Sampling and Quantization </font></font>

<font face="Arial, Helvetica, sans-serif"><font size="-1">6. 2-D Transforms</font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> a. Introduction to 1D and 2D Discrete Fourier Transforms </font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> b. Properties of 2-D Fourier Transforms </font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> c. Other Seperable 2D Transforms (Walsh, Hadamard, DCT) </font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> d. The Karhunen-Loeve Transform </font></font>

<font face="Arial, Helvetica, sans-serif"><font size="-1">7. Image Enhancement</font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> a. Enhancement by point processing - Histogram Equalization </font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> b. Enhancement by spatial filtering </font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> c. Homomorphic Filtering </font></font>

<font face="Arial, Helvetica, sans-serif"><font size="-1">8. Color Image Procesing </font></font>

<font face="Arial, Helvetica, sans-serif"><font size="-1">9. Linear Operators by Circulant Matrices </font></font>

<font face="Arial, Helvetica, sans-serif"><font size="-1">10. Fundamentals of Image Coding</font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> a. Elements of Information Theory - Image Compression Methods </font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> b. Lossless Coding - Huffman and Arithmetic Coding </font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> c. Transform Coding </font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> d. Standard Video Compression - JPEG </font></font>

<font face="Arial, Helvetica, sans-serif"><font size="-1">11. Image Segmentation</font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> a. Edge an Feature Detection </font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> b. Tresholding </font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> c. Region Segmentation</font></font>

<font face="Arial, Helvetica, sans-serif"><font size="-1">12. Shape Representation and Segmentation </font></font>

<font face="Arial, Helvetica, sans-serif"><font size="-1">13. Elements of Machine Vision</font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> a. Matching of templates + Expansion Matching </font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> b. Optimal Statistical Classifiers </font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> c. Neural Networks for Pattern Recognition </font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> d. Introduction to Object Recognition - Indexing </font></font> <br /><font face="Arial, Helvetica, sans-serif"><font size="-1"> e. Morphology </font></font>
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Topic revision: r1 - 2010-06-30 - 20:50:08 - Main.ala
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