Ray Phan's Free Video Lecture Page: Elec. Eng. & Related Courses
About this original series
This is Ray Phan's free video lecture page for lectures on Electrical & Computer Engineering and related topics. Videos will be placed on this website as I teach courses, or when I TA courses where it merits video capture. The courses that I have taught and are available online on my website so far are: - ELE 635 - Communication Systems: Winter 2009 - ELE 639 - Control Systems: Spring 2009, Spring 2010, Spring 2011 - MTH 820 - Image Analysis: Winter 2010, Winter 2011. Ray Phan is a Ph.D. candidate with the Department of Electrical and Computer Engineering at Ryerson University in Toronto, Ontario, Canada. He is currently a Vanier Canada Graduate Scholar, the most prestigious and highest valued Ph.D. scholarship to be awarded for Ph.D. study in Canada. For more information about myself, please see: http://www.ee.ryerson.ca/~rphan/RayCV.pdf
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# Episodes
167 episodes -
Rating
TV-UN
Episodes of Ray Phan's Free Video Lecture Page: Elec. Eng. & Related Courses
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MTH 820: Image Analysis - Final Exam Review - Ap...
In this video, I cover the solutions to Winter 2011's final exam. I don't have a copy of the original final exam, but I had the code I wrote that solved all the questions, so I simply deducted from that. The exam is 5 questions, with some theoretical, but mostly programming questions. The questions range from image enhancement, to segmentation, to registration and geometric transformations. The images and code can be found here: http://www.rnet.ryerson.ca/~rphan/mth820/w2012/finalexamreview
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Release date
Apr 3, 2012
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Runtime
56:25
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MTH 820: Image Analysis - Lab 6 - March 20th, 2012
This is the last assignment for MTH 820: Image Analysis, at Ryerson University for the Winter 2012 semester. We cover low-level segmentation, using the pixel intensities to determine how to properly separate an image into multiple classes. We go through four problems that deal specifically with this kind of segmentation. To access the code and notes, go to http://www.rnet.ryerson.ca/~rphan/mth820/w2012/lab7
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Release date
Mar 27, 2012
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Runtime
47:05
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MTH 820: Image Analysis - Lab 5 - March 20th, 2012
This is Lab #5 for MTH 820: Image Analysis for the Winter 2012 semester at Ryerson University. We cover some more morphology examples. Properties of Dilation and Erosion are explored, as well as a small application to extract instances of a single letter selected by the user in black and white text, and to colour them red. To view the notes and code, please go to http://www.rnet.ryerson.ca/~rphan/mth820/w2012/lab6
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Release date
Mar 20, 2012
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Runtime
38:26
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MTH 820: Image Analysis - Lab 4, Part 2 - March ...
This is the second part of Lab #4 for MTH 820: Image Analysis at Ryerson University for the Winter 2012 semester. Because this assignment is due on March 20th, and that's when the tutorial is, I have decided to make the video concerning this next part on my own time to allow the easier completion of the assignment. We cover the basics of morphology, and how to do it in MATLAB. To access the code and the notes for this assignment, go to http://www.rnet.ryerson.ca/~rphan/mth820/w2012/lab5
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Release date
Mar 14, 2012
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Runtime
41:19
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MTH 820: Image Analysis - Lab 4, Part 1 - March ...
This is the first part of Lab #4 for MTH 820: Image Analysis for the Winter 2012 semester at Ryerson University. We cover image registration here, and there are two methods we take a look at. Feature point based registration, and area-based. For the feature point based, we manually select the control points, rather than doing automatic approaches, as it is beyond the scope of this course. As the assignment is due on March 20th, 2012, and the tutorial is on the same day, the second half of this...
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Release date
Mar 13, 2012
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Runtime
55:06
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MTH 820: Image Analysis - Lab 3, Part 2 - Februa...
This is the second part of Lab #3 for MTH 820: Image Analysis for the Winter 2012 term at Ryerson University. We go through some more examples of how to apply geometric transformations to images, such as shearing, rotating, translating, as well as the effects of different interpolation schemes when subject to shearing. To access the code for this video, go to http://www.rnet.ryerson.ca/~rphan/mth820/w2012/lab4
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Season / Episode
S. 1 / Ep. 1
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Release date
Mar 6, 2012
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Runtime
37:47
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MTH 820: Image Analysis - Lab 3, Part 1 - Februa...
This is the first part of Lab #3 for MTH 820: Image Analysis, at Ryerson University in the Winter 2012 semester. We cover the basics of geometric transformations - translation, rotation, scaling, shearing, etc., and how to perform these in MATLAB. We also take a look at some properties of interpolation as you are expanding the size of the image.
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Release date
Feb 28, 2012
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Runtime
38:35
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MTH 820: Midterm Review - February 14th, 2012
In this review, I cover the solutions to the Winter 2010 test, as well as various questions from other tests that were encountered in the previous years. Topics include histogram equalization, linear transformations, power law transformations, spatial filtering and padding. To view the lecture notes, go to http://www.rnet.ryerson.ca/~rphan/mth820/w2012/midtermreview
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Release date
Feb 14, 2012
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Runtime
53:18
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MTH 820: Image Analysis - Lab 2, Part 2 - Februa...
In this tutorial, we cover Part #2 of Lab #2 for MTH 820: Image Analysis for the Winter 2012 semester at Ryerson University. We cover how to perform spatial filtering in MATLAB. We cover how to generate a Gaussian spatial mask, explore image sharpening, and high-boost emphasis filtering. To access the code and the notes, please go here: http://www.rnet.ryerson.ca/~rphan/mth820/w2012/lab3
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Release date
Feb 14, 2012
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Runtime
47:22
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Advanced MATLAB Tutorial for Engineers and Scien...
In this second part, we cover some more advanced topics: Cell arrays, review of logical operators, the find command, creating transfer functions, the step and impulse response, partial fraction decomposition, finding the roots of equations, and other topics. We also cover more advanced concepts, such as finding the analytical derivative and integral, as well as the definite integral, finding the line of best fit via regression, estimating the area underneath the curve with a set of data points...
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Release date
Feb 8, 2012
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Runtime
01:09:36
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