# L1 - EE4780:Introductionto ComputerVision Introduction...

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EE 4780: Introduction to  Computer Vision Introduction

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Bahadir K. Gunturk 2 EE 4780 Instructor: Bahadir K. Gunturk Office: EE 225 Email: [email protected] Tel: 8-5621 Office Hours: MW 10:00 – 12:00
Bahadir K. Gunturk 3 EE 4780 We will learn the fundamentals of digital image processing and computer vision. Lecture slides, problems sets, solutions, study materials, etc. will be posted on the class website. [ www.ece.lsu.edu/gunturk/EE4780 ] Textbook is not required. References: Gonzalez/Woods, Digital Image Processing , Prentice-Hall, 2/e. Forsyth/Ponce, Computer Vision: A Modern Approach , Prentice-Hall. Shapiro/Stockman, Computer Vision , Prentice-Hall. Horn, “Robot Vision,” MIT Press, 1986.

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Bahadir K. Gunturk 4 Grading Policy Your grade will be based on Problem Sets: 30% Midterm: 30% Final: 40% Problem Sets Mini projects: Theoretical problems and MATLAB assignments 4-5 Problem Sets Individually or in two-person teams
Bahadir K. Gunturk 5 Digital Image Acquisition Sensor array When photons strike, electron-hole pairs are generated on sensor sites. Electrons generated are collected over a certain period of time. The number of electrons are converted to pixel values. (Pixel is short for picture element .)

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Bahadir K. Gunturk 6 Digital Image Acquisition Two types of quantization: 1. There are finite number of pixels. (Spatial resolution) 2. The amplitude of pixel is represented by a finite number of bits. (Gray-scale resolution)
Bahadir K. Gunturk 7 Digital Image Acquisition Take a look at this cross section

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Bahadir K. Gunturk 8 Digital Image Acquisition 256x256 - Found on very cheap cameras, this resolution is so low that the picture quality is almost always unacceptable. This is 65,000 total pixels. 640x480 - This is the low end on most "real" cameras. This resolution is ideal for e-mailing pictures or posting pictures on a Web site. 1216x912 - This is a "megapixel" image size -- 1,109,000 total pixels -- good for printing pictures. 1600x1200 - With almost 2 million total pixels, this is "high resolution." You can print a 4x5 inch print taken at this resolution with the same quality that you would get from a photo lab. 2240x1680 - Found on 4 megapixel cameras -- the current standard -- this allows even larger printed photos, with good quality for prints up to 16x20 inches. 4064x2704 - A top-of-the-line digital camera with 11.1 megapixels takes pictures at this resolution. At this setting, you can create 13.5x9 inch prints with no loss of picture quality.
Bahadir K. Gunturk 9 Image Resolution Don’t confuse image size and resolution.

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Bahadir K. Gunturk 10 Bit Depth – Grayscale Resolution 8 bits 7 bits 6 bits 5 bits
Bahadir K. Gunturk 11 Bit Depth – Grayscale Resolution 4 bits 3 bits 2 bits 1 bit

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Bahadir K. Gunturk 12 Matrix Representation of Images
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## This note was uploaded on 11/28/2011 for the course EE 4780 taught by Professor Staff during the Spring '08 term at LSU.

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L1 - EE4780:Introductionto ComputerVision Introduction...

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