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Introduction to MATLAB’s Signal & Image Processing toolboxes Introduction to MATLAB’s Signal & Image Processing toolboxes

Introduction to MATLAB’s Signal & Image Processing toolboxes - PowerPoint Presentation

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Uploaded On 2018-02-26

Introduction to MATLAB’s Signal & Image Processing toolboxes - PPT Presentation

Overview Whats in the toolboxes Learn basic techniques to use them Using MATLABs built in help and demos Setup Log in to your machines Start MATLAB Open a web browser and type in httptinyurlcomutatut ID: 637127

filter image signal matlab image filter matlab signal amp processing fir color toolbox butterworth design toolboxes lowpass order cutoff

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Presentation Transcript

Slide1

Introduction to MATLAB’s Signal & Image Processing toolboxesSlide2

Overview

What’s in the toolboxes

Learn basic techniques to use them

Using MATLAB’s built in help and demosSlide3

Setup

Log in to your machines

Start MATLAB

Open a web browser and type in:

http://tinyurl.com/uta-tutSlide4

Basic of signal sampling

MATLAB

stores signals in arrays – we are only storing samples

Nyquist

theorem F

s

>= 2 *

f

max

But what is the sampling rate in MATLAB?Slide5

Signal processing Functions in MATLAB

conv

filter

fft

i

fftSlide6

Time domain filters

sinc

FIR – windowing

fir1(

n,Wn

) returns row vector b containing the n+1 coefficients of an order n

lowpass

FIR filter with normalized cutoff frequency

Wn

IIR –

butterworth

butter(n,Wn) designs an order n lowpass digital Butterworth filter with normalized cutoff frequency WnSlide7

Signal Processing Toolbox

FIR filter design:

fir1 – uses windowing

fir2 – uses

idft

IIR filter design

butter –

butterworth

design

cheby1/2 –

chebyshev

designyulewalker – recursive designfdatool - GUISlide8

Things to do..

Try filtering out the high pass component

Mix in a 3

rd

sinusoid, and make a

bandpass

filter

Look up ‘

wavrecord

’ and ‘

wavplay

’ in MATLAB help and see if you can find something interesting to do with it and these filters.Slide9

Questions for now?Slide10

Image Processing Toolbox

Loading an image

imread

Displaying an image

imshow

Saving to a file

imwriteSlide11

Color images – are made up of 3 color components, can’t be processed directly

rgb2gray – converts to a grayscale image

im2bw – converts to a black & white image

process each color plane individuallySlide12

Spatial transforms

imrotate

imresize

imfilter

fspecialSlide13

Image registration & connected components

normxcorr2

bwlabel

imdilate

imerode

imclose

imopenSlide14

Image enhancement & restoration

imhist

histeq

medfilt2

wiener2Slide15

Accessing Demos

Type ‘demos’ at the command line

In the left sidebar, select MATLAB toolboxes

Expand a toolbox, and then any subcategoriesSlide16

Questions