i need to add an image as background?

Question

marc kahwaji 2014-8-4

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/146271-i-need-to-add-an-image-as-background

评论： marc kahwaji 2014-8-12

here is my code

close all; clear all;

P = @(x,y,c,w,a) a.*exp(-((x-repmat(c(1),size(x,1),size(x,2))).^2 + (y-repmat(c(2),size(y,1),size(y,2))).^2)./w); A=[6 8 10]; W = 1; % Width (constant here, can vary as a vector if you like) C = [[18 15 5];[10 10 10]]; % Peak centers x = linspace(0,20,150); % Define ‘x’ vector

[X,Y] = meshgrid(x); pks = zeros(size(X)); % Preallocate ‘pks’ for k1 = 1:size(C,2) % Loop through ‘C’ (centers) vector pks = pks + P(X,Y,C(:,k1),W,A(k1)) ; end

A=meshz(X,Y,pks); view(2);

grid on;

colorbar

i have this code and i need to add an image as a background how can i do it?

3 个评论
显示 1更早的评论隐藏 1更早的评论

Star Strider 2014-8-5

Reference: http://www.mathworks.com/matlabcentral/answers/144472-how-to-draw-peaks-in-specific-locations

marc kahwaji 2014-8-7

foot1.jpg

find attach the image that i need to put as background

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Image Analyst 2014-8-5

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/146271-i-need-to-add-an-image-as-background#answer_147390

在 MATLAB Online 中打开

Try this:

clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
imtool close all;  % Close all imtool figures if you have the Image Processing Toolbox.
clear;  % Erase all existing variables. Or clearvars if you want.
workspace;  % Make sure the workspace panel is showing.
format long g;
format compact;
fontSize = 13;
close all;
clear all;
P = @(x,y,c,w,a)  a.*exp(-((x-repmat(c(1),size(x,1),size(x,2))).^2 + (y-repmat(c(2),size(y,1),size(y,2))).^2)./w);
A=[6 8 10];
W = 1;                                                                                    % Width (constant here, can vary as a vector if you like)
C = [[18 15 5];[10 10 10]];    % Peak centers
x = linspace(0,20,150);             % Define ‘x’ vector
[X,Y] = meshgrid(x);
pks = zeros(size(X));               % Preallocate ‘pks’
for k1 = 1:size(C,2)                % Loop through ‘C’ (centers) vector
  pks = pks + P(X,Y,C(:,k1),W,A(k1)) ;
end
subplot(1,3,1);
imshow(pks);
grid on;
colorbar
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);
% Read in background image.
backgroundImage = imread('cameraman.tif');
% Make same size as pks.
backgroundImage = double(imresize(backgroundImage, size(pks)));
% Normalize
backgroundImage = backgroundImage * max(pks(:)) / max(backgroundImage(:));
subplot(1,3,2);
imshow(backgroundImage, []);
axis on;
compositeImage = backgroundImage; % Initialize.
% Get location of circles.
circleLocations = pks > 0.001;
% Now add circles.
compositeImage(circleLocations) = pks(circleLocations);
subplot(1,3, 3);
imshow(compositeImage, []);
axis on;

13 个评论
显示 11更早的评论隐藏 11更早的评论

marc kahwaji 2014-8-5

i modified the code

close all; clear all;

P = @(x,y,c,w,a) a*exp(-((x-repmat(c(1),size(x,1))).^2 + (y-repmat(c(2),size(y,1))).^2)./w); % Function to calculate peaks a=[10 15 20]; % set the amplitude of each peak. Ces valeurs seront les valeurs des sensors W = 2; % Width (constant here, can vary as a vector if you like) C = [[5 5 5]; [5 10 15]]; % Peak centers [[x1,x2,x3];[y1 y2 y3]] with this command i can decide wherre to put the peaks on the surface x = linspace(0,20,150); % Define ‘x’ vector [X,Y] = meshgrid(x); pks = zeros(size(X)); % Preallocate ‘pks’ for k1 = 1:size(C,2) % Loop through ‘C’ (centers) vector pks = pks + P(X,Y,C(:,k1),W,a(k1)); end

subplot(1,3,1); pcolor(pks); grid on;

% Enlarge figure to full screen. set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]); % Read in background image. backgroundImage = imread('foot1.jpg'); % Make same size as pks. backgroundImage = double(imresize(backgroundImage, size(pks))); % Normalize backgroundImage = backgroundImage *max(pks(:)) / max(backgroundImage(:)); subplot(1,3,2); imshow(backgroundImage,[]); axis on; compositeImage = backgroundImage; % Initialize. % Get location of circles. circleLocations = pks > 0.001; % Now add circles. compositeImage(circleLocations) = pks(circleLocations); subplot(1,3, 3); imshow(compositeImage, []); axis on; colorbar;

i want the figure in the subplot(1,3,2) to be the background of the subplot(1,3,1) it's not working

Image Analyst 2014-8-7

在 MATLAB Online 中打开

clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
clear;  % Erase all existing variables. Or clearvars if you want.
workspace;  % Make sure the workspace panel is showing.
format long g;
format compact;
fontSize = 13;
P = @(x,y,c,w,a) a*exp(-((x-repmat(c(1),size(x,1))).^2 + (y-repmat(c(2),size(y,1))).^2)./w);   % Function to calculate peaks
a=[10 15 20];                     % set the amplitude of each peak. Ces valeurs seront les valeurs des sensors
W = 2;                              % Width (constant here, can vary as a vector if you like)
C = [[5 5 5]; [5 10 15]];       % Peak centers [[x1,x2,x3];[y1 y2 y3]] with this command i can decide wherre to put the peaks  on the surface
x = linspace(0,20,150);             % Define ‘x’ vector
[X,Y] = meshgrid(x);
pks = zeros(size(X));               % Preallocate ‘pks’
for k1 = 1:size(C,2)                % Loop through ‘C’ (centers) vector
  pks = pks + P(X,Y,C(:,k1),W,a(k1));
end
% Normalize
pks = uint8(255 * mat2gray(pks));
rgbPks = ind2rgb(pks, jet(256));
% Read in background foot image.
backgroundImage = imread('C:\Users\elie\Documents\Temporary\foot1.jpg');
[rowsB, columnsB, numberOfColorChannelsB] = size(backgroundImage)
subplot(1, 3, 2);
imshow(backgroundImage,[]);
axis on;
% Make same size as pks.
if numel(backgroundImage) > numel(rgbPks)
  rgbPks = double(imresize(rgbPks, [rowsB, columnsB]));
else
  backgroundImage = double(imresize(backgroundImage, size(pks)));
end
% Normalize
backgroundImage = 255 * mat2gray(backgroundImage);
% % Normalize
% backgroundImage = backgroundImage * max(pks(:)) / max(backgroundImage(:));
% Display pks.
subplot(1, 3, 1);
imshow(rgbPks);
axis on;
grid on;
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);
% Display foot.
subplot(1, 3, 2);
imshow(uint8(backgroundImage),[]);
axis on;
% Get a weighted sum.
weight = 0.997;
weightedSumImage = ((1-weight)*backgroundImage + weight*rgbPks) / weight;
compositeImage = uint8(255*mat2gray(weightedSumImage));
% Display the sum.
subplot(1, 3, 3);
imshow(compositeImage);
axis on;

Image Analyst 2014-8-12

numel() is the number of pixels in the image. weight says how much wieght to apply to one image. The other line just does the weighted sum. It just says how much of one image shows in comparison to the other image. Not sure how to describe weighted sum. I thought everyone knew what it was. Perhaps you can Google it.

marc kahwaji 2014-8-12