Chapter 2: Digital Image Fundamentals

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Presentation transcript:

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals

MATLAB/Image Processing Toolbox function [rt, f, g] = twodsin(A,u0, v0, M, N) % TWODSIN Compares for loops vs. vectorization. % The comparison is based on implementing the function % f(x,y)=Asin(u0x+v0y) for x=0,1,2,…,M-1 and % y=0,1,2,…,N-1. The inputs to the function are % M and N and the constants in the function. % First implement using for loops tic %start timing for r=1:M u0x=u0*(r-1); for c=1:N v0y=v0*(c-1); f(r,c)=A*sin(u0x+v0y); end t1=toc; % End timing % Now implement using vectorization r=0:M-1; c=0:N-1; [C,R]=meshgrid(c,r); %special MATLAB function for fast 2F function evaluations % creates all the (x,y) pairs for function evaluation g=A*sin(u0*R+v0*C); t2=toc; %End timing %compute the ratio of the two times rt=t1/(t2+eps); %use eps in case t2 is close to zero.

MATLAB/Image Processing Toolbox >> [rt,f,g]=twodsin(1, 1/(2*pi), 1/(4*pi), 512, 512); >> rt rt = 34.2520 %according to GWE. I only got ~19. >>g=mat2gray(g); >> imshow(g) %show in separate window.

MATLAB/Image Processing Toolbox imshow (f,G) %F is an image array %G is the number of intensity levels. Default is 256. imwrite(f, ‘filename’) % filename MUST contain a recognized file format extension % .tif or .tiff identify TIFF % .jpg identifies jpeg % additional parameters for tiff and jpeg identify compression, etc. imfiinfo filename % returns all kind of cool file information such as size Imread(‘filename’) % filename MUST contain an appropriate extension

MATLAB/Image Processing Toolbox indexed bw2ind rgb2ind ind2rgb im2bw gray2ind ind2gray binary RGB im2bw im2bw rgb2gray intensity mat2gray General matrix

MATLAB/Image Processing Toolbox 1 2 3 N 1 c 2 3 M r One pixel

MATLAB/Image Processing Toolbox >> h=imhist(f) %any previously loaded image >> h1=h(1:10:256) %create bins for horiz axis >> horz=(1:10:256; % >> bar(horiz, h1) % >> axis([0 255 0 15000]) %expand lower range of y-axis >> set(gca, ‘xtick’, 0:50:255) %gca means ‘get current axis’ >> set(gca, ‘ytick’, 0:2000:15000) %lab h & v ticks