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Class Schedule

Last updated on Wednesday, November 15, 1995


The topics for the lectures will fairly closely follow the textbook (with some large sections skipped). The content of the lectures will supplement, not duplicate, the text--don't be surprised if the lecture doesn't precisely match the assigned reading. We will follow this schedule approximately, moving faster or slower as the material permits.

No. Date Day Topic Reading Due
1 Sep 6 Wed Introduction and Overview Syllabus, Ch. 1
-- TBA -- Lab Introduction and Overview Web Pages
2 8 Fri Images: Types, Sources, Examples, Fundamentals Ch. 1, 2.2-2.3
3 11 Mon Digital Image Fundamentals 2.4
4 13 Wed Mathematical Preliminaries Notes
5 15 Fri Mathematical Preliminaries Notes
6 18 Mon The Fourier Transform, DFT 3.1, 3.2 HW #1
7 20 Wed FTs of Some Common Functions, FT Properties 3.3.1-3.3.7
8 22 Fri Convolution, Transfer Functions 3.3.8, Notes
9 25 Mon Filtering, Sampling 3.3.9-3.4
10 27 Wed FFT Algorithm, Other Transforms 3.5-3.6
11 29 Fri Other Transforms 3.5-3.6
12 Oct 2 Mon Image Noise Notes Prog. #1
13 4 Wed Image Enhancement: Intro and Point Processing 4.1-4.2
14 6 Fri Image Enhancement: Spatial Filtering 4.3
15 9 Mon Image Enhancement: Frequency Domain 4.4-4.5
16 11 Wed Color Image Processing 4.6 HW #2
17 13 Fri Image Restoration 5.4.1, 5.9.2 Prog. #2
18 16 Mon Image Restoration Notes
19 18 Wed Introduction to Compression 6.1, 6.4-6.4.2 HW #3
20 20 Fri Introduction to Compression 6.5.2-6.7
21 23 Mon Introduction to Segmentation, Edge Detection 7-7.1 Midterm
22 25 Wed Edge Linking, Graph-Searching Methods 7.2.1, 7.2.3
23 27 Fri Hough Transform 7.2.2
24 30 Mon Hough Transform 7.2.2
25 Nov 1 Wed Thresholding 7.3
26 3 Fri Region-Oriented Methods 7.4
27 6 Mon Contour Representation 8-8.1.4
28 8 Wed Medial Representation 8.1.5, Notes
29 10 Fri Descriptors 8.2 HW #4
30 13 Mon Texture 8.3.3, Notes Prog. #3
31 15 Wed Project Overview and Assignments
32 17 Fri Morphology: Dilation, Erosion, Open, Close 8.4-8.4.2
33 20 Mon Morphology: Hit and Miss, Thinning, etc. 8.4.3-8.4.4
34 22 Wed Morphology: Grey-Scale Operators 8.4.5
-- 24 Fri Thanksgiving Holiday --
35 27 Mon Statistical Pattern Recognition and Labelling 9-9.3.2
36 29 Wed Neural Networks 9.3.4
37 Dec 1 Fri Intro. to Differential Geometry Notes
38 4 Mon Shape from X Notes HW #5
39 6 Wed Multiresolution approaches and scale spaces Notes
40 8 Fri Human Vision 2.1, Notes
41 11 Mon Project Presentations --
42 13 Wed Project Presentations, Current and Future Directions Notes Project
14-17 Reading Days
TBA Review and Help Section (Attendance Optional)
20 Wed Final Exam

 


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© Bryan S. Morse, 1995