1 / 78

Matlab Tutorial

Matlab Tutorial. Matrices. Matrices. Matrices. Rows and columns are always numbered starting at 1 Matlab matrices are of various types to hold different kinds of data (usually floats or integers) A single number is really a 1 x 1 matrix in Matlab!

taylord
Télécharger la présentation

Matlab Tutorial

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Matlab Tutorial

  2. Matrices

  3. Matrices

  4. Matrices • Rows and columns are always numbered starting at 1 • Matlab matrices are of various types to hold different kinds of data (usually floats or integers) • A single number is really a 1 x 1 matrix in Matlab! • Matlab variables are not given a type, and do not need to be declared • Any matrix can be assigned to any variable

  5. Images and Matrices • How to build a matrix (or image)? >> A = [ 1 2 3; 4 5 6; 7 8 9 ]; A = 1 2 3 4 5 6 7 8 9 >> B = zeros(3,3) B =0 0 0 0 0 0 0 0 0 >> C = ones(3,3) C = 1 1 1 1 1 1 1 1 1 >>imshow(A) (imshow(A,[]) to get automatic pixel range)

  6. Building Matrices Building matrices with [ ]: A = [2 7 4] A = [2; 7; 4] A = [2 7 4; 3 8 9] B = [ A A ] 2 7 4 2 7 4 2 7 4 3 8 9 ? 2 7 4 2 7 4 3 8 9 3 8 9

  7. Operating on whole Matrices

  8. Special matrix operators Some operators must be handled with care: A = [1 2 ; 4 5] B = A * A prints 9 12 24 33 B = A .* A prints 1 4 16 25 Element by element multiplication

  9. Submatrices A matrix can be indexed using another matrix, to produce a subset of its elements: a = [100 200 300 400 500 600 700] b = [3 5 6] c = a(b): 300 500 600

  10. Submatrices To get a subsection of a matrix, we can produce the index matrix with the colon operator: a(2:5) prints ans = 200 300 400 500 • This works in 2-D as well, e.g. c(2:3, 1:2) produces a 2 x 2 submatrix. • The rows and columns of the submatrix are renumbered. a = [100 200 300 400 500 600 700]

  11. loops ‘for’ loops in MATLAB iterate over matrix elements: b = 0 for i = [ 3 9 17] b = b + i; end Result: 29 Note: The MATLAB way to write that program would have been: b = sum([ 3 9 17]); Avoid loops if possible !

  12. loops The typical ‘for’ loop looks like: for i = 1:6 … end Which is the same as: for i = [1 2 3 4 5 6] … end

  13. Famous Matrix Manipulation Algorithms • Singular value decomposition---[U,S,V]=svd(A) • Eigenvalues and eigenvectors---[V,D] = eig(A) • Orthogonal-triangular decomposition- [Q,R]=qr(A) • LU factorization --[L,U] = lu(A) • Matrix rank -- a=rank(A) • Condition number -- a=cond(A) • Linear systems: A\b solves A*x = b

  14. Constructing Matrices • Basic built-ins: • All zeroes, ones: zeros, ones • Identity: eye • Random: rand (uniform), randn (unit normal) • Ranges: m:n, m:i:n (i is step size) • Composing big matrices out of small matrix blocks • repmat(A, m, n): “Tile” a big matrix with m x n copies of A

  15. Manipulations & Calculations on matrices • Transpose (‘), inverse (inv) • Matrix arithmetic: +, -, *, /, ^ • Elementwise arithmetic: .*, ./, .^ • Functions • Vectorized • sin, cos, etc.

  16. Deconstructing Matrices • Indexing individual entries by row, col: A(1, 1) is upper-left entry • Ranges: e.g., A(1:10, 3), A(:, 1) • Matrix to vector and vice versa by column: B = A(:), A(:) = B • Transpose to use row order • find: Indices of non-zero elements

  17. Control Structures

  18. Control Structures • Expressions, relations (==, >, |, &, functions, etc.) • if/whileexpressionstatementsend • Use comma to separate expression from statements if on same line • if a == b & isprime(n), M = inv(K); else M = K; end • forvariable=expressionstatementsend • for i=1:2:100, s = s / 10; end

  19. function[c,d,e]=pyt(a,b) % returns the hypotenuse in a right angle % triangle according to Pythagoras theorem. % c is the hypotenuse, % d and e are the two sharp angles c=sqrt(a.^2+b.^2); d=atan(b./a); e=pi/2-d;

  20. ifi==1, statement; end • ifres(n,2) ~= 0, statement; else, statement; end if: • if (A > B), statement; elseif(A< B), statement; elseif~A,statement; else, statement; end

  21. switch switch (rem(n,3) ==0) & (rem(n,2)==0) case 0 disp('n is not dividable by 6') case 1 disp('n is dividable by 6') otherwise error('This is impossible.') end

  22. for forn=1:1:4, subplot(2,2,n) plot(a(:,1),a(:,n+1)) title(num2str(n)) end

  23. while a = 4; fa = sin(a); b = 2; fb = sin(b); while a - b > 5 * eps, x = (a+b)/2; fx = sin(x); if sign(fx) == sign(fa), a = x; fa=fx; break; else b = x; fb = fx; end end

  24. Plotting • 2-D vectors: plot(x, y) • plot(0:0.01:2*pi, sin(0:0.01:2*pi)) • 3-D: plot3(x, y, z)(space curve) • Surfaces • meshgrid makes surface from axes, mesh plots it • [X,Y] = meshgrid(-2:.2:2, -2:.2:2); Z = X .* exp(-X.^2 - Y.^2); mesh(Z) • surf: Solid version of mesh • Saving figures, plots: print –depsc2filename

  25. Miscellaneous • Diary: Recording a session • diary filename • diary off • tic, toc bracketing code to measure execution time

  26. Once again: AVOID LOOPS

  27. Logical Conditions • equal (==) , less than and greater than (< and >), not equal (~=) and not (~) • find(‘condition’) - Returns indexes of A’s elements that satisfies the condition. >> [row col]=find(A==7) row = 3 col = 1 >> [row col]=find(A>7) row = 3 3 col = 2 3 >> Indx=find(A<5) Indx = 1 2 4 7 • A = • 2 3 • 5 6 • 7 8 9

  28. Flow Control • Flow control in MATLAB - if, else and elseif statements (row=1,2,3 col=1,2,3) if row==col A(row, col)=1; elseif abs(row-col)==1 A(row, col)=2; else A(row, col)=0; end A = 1 2 0 2 1 2 0 2 1

  29. Flow Control • Flow control in MATLAB - for loops for row=1:3 for col=1:3 if row==col A(row, col)=1; elseif abs(row-col)==1 A(row, col)=2; else A(row, col)=0; end end end A = 1 2 0 2 1 2 0 2 1

  30. Flow Control • while, expression, statements, end Indx=1; while A(Indx)<6 A(Indx)=0; Indx=Indx+1; end • A = • 2 3 • 5 6 • 7 8 9 A = 0 2 3 0 5 6 7 8 9

  31. M-Files • Any text file ending in “.m” • Use path or addpath to tell Matlab where code is (non-persistent?) • Script: Collection of command line statements • Function: Take argument(s), return value(s). First line defines: • function y = foo(A) • function [x, y] = foo2(a, M, N) • Comment: Start line with %

  32. Working with M-Files • M-files can be scripts that simply execute a series of MATLAB statements, or they can be functions that also accept input arguments and produce output. • MATLAB functions: • Are useful for extending the MATLAB language for your application. • Can accept input arguments and return output arguments. • Store variables in a workspace internal to the function.

  33. Working with M-Files • Create a new empty m-file function B=test(I) [row col]=size(I) for r=1:row for c=1:col if r==c A(r, c)=1; elseif abs(r-c)==1 A(r, c)=2; else A(r, c)=0; end end end B=A;

  34. Composition of MATLAB

  35. Examples Try these MATRIX AND VECTOR OPERATIONS This is how we can define a vector >> v=[1, 2, 3] Matlab prints out the following v =     1     2     3 Similarly we can define a matrix >> M= [ 1 2 3; 4 5 6; 7 8 9] The result is: M =     1     2     3     4     5     6     7     8     9 If you want to suppress the MatLab output then you need to finish the line with semicolon as follows. >>M= [ 1 2 3; 4 5 6; 7 8 9];

  36. Projection Say you want to extract some rows and columns of a matrix. This is called a projection. We simply give the subset of rows and columns as parameters, as follows >> M11=M(2:3 , 2:3) M11 =      5     6      8     9 To specify all elements in a given dimension one can use ':‘ So to get all rows but just columns 1 and 2, we type >> A= M( :, 1:2) A =      1     2      4     5      7     8

  37. WORKING WITH IMAGES in MatLab Let’s talk about image files and their formats….. Color vs GrayScale Basic Image Processing functions: Reading in an image: >> img1=imread('Water lilies.jpg'); Displaying an image: >> imshow(img1); Finding out size of an image: >> size(img1); >> size(img1) ans = 600 800 3 imread imshow size

  38. WORKING WITH IMAGES in MatLab Cropping an image: >> imgsmall=img1(200:300,300:400,1:3); >> imshow(imgsmall) >> imgsmall=img1(150:250,350:450,1:3); >> imshow(imgsmall) >> size(imgsmall) ans = 101 101 3 Exercise: 1. Find 2 images online 2. Crop them to the same size 3. Add the two images together. 4. Display resulting image Advanced Exercise: • Rescale images to same size then add them • See next slide to see HOWTO rescale variable imgsmall

  39. ReScaling We can rescale by changing the number of rows and columns, yet preserve the information in the image >> [rows, cols, colors]= size(img1) rows = 600 cols = 800 colors = 3 % Increase the number of rows >> stretchfactor = 1.5 >> rowVec= linspace(1,rows,stretchfactor*rows); >> newrows=round(rowVec); >> newimag=img1(newrows,:,:) >> imshow(newimg); % Decrease number of columns >> stretchfactor = 0.75; >> colVec= linspace(1,cols,stretchfactor*cols); >> newcols=round(colVec); >> newimag=newimg(:,newcols,:) >>imshow(newimg) linspace round

  40. Example Program: Inverting an image To invert or to add two images we need to convert to double and then rescale the result back so that it looks like an image InvImg= 1 - double(IMG1)/255; NewImg = uint8(round(InvImg*255))) Imshow(NewImg); uint8

  41. WORKING WITH IMAGES in MatLab Color Masking Sometimes we want to replace pixels of an image of one or more colors with pixels from another image. It is useful to use a “blue or green screen” in some instances. Find an image with a big plot of one color. First we will replace that color. And then we will find another image for pixel replacement. Let us plot the color values of one chosen row…This will tell us the pixel values of the color we want to replace. • v = imread(‘myimg.jpg’) • image(v) • row= input(‘which row?’); • red = v(row,:,1); • green = v(row,:,2); • blue = v(row,:,3); • plot(red,’r’); • hold on • plot(green,’g’); • plot(blue,’b’); input

  42. WORKING WITH IMAGES in MatLab Suppose we want to replace those values whose intensities exceed a threshold value of 160 in each color. • v= imread(‘myimg.jpg’); • thresh= 160 • layer = (v(:,:,1) > thresh) & (v(:,:,2) > thresh) (v(:,:,2) > thresh) • mask(:,:,1) = layer; • mask(:,:,2) = layer; • mask(:,:,3) = layer; If you want to only mask a portion of the image you can use something like… >> mask(700:end,:,:)= false; Which sets the mask so that we do not affect rows 700 and above To reset the color to red >>newv = v; >>newv(mask)(1) = 255 Or to replace pixels from a different image w use…>> newv(mask) = w(mask); Let us try to do this with a blue screen…..

  43. Histograms

  44. Image reading and showing imread imshow

  45. Image Histogram imhist

  46. HistogramEqualization histeq

  47. Noise

  48. Adding Noise • Filtering Noise imnoise medfilt2

  49. Add Image to noise

More Related