Hello everybody… I want to set an equal and fixed distance(5 units) between red star points in the whole figure(the three circles) in my attached code… How can I do it?? Please help me.Thanks in advance:)
MATLAB: How to set an equal distance of 5 units between the red star points
plotwsn
Related Solutions
Zeinab - if you want to traverse the outer hexagon, then you can do something like
hStarMarker = plot(NaN, NaN, 'r*');for k=1:length(x3)-1 xCoords = linspace(x3(k), x3(k+1), 50); yCoords = linspace(y3(k), y3(k+1), 50); for m=1:length(xCoords) set(hStarMarker, 'XData', xCoords(m), 'YData', yCoords(m)); pause(0.01); endendWe create a graphics object, hStarMarker, which will represent the red star that will traverse the hexagon. We then loop over each hexagon edge and create 50 points along that edge using linspace. We can then use the x- and y-coordinate for each point along the edge and update the position of the star marker. We pause for 100th of a second before drawing the star at its next position.
Try this:
clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
workspace; % Make sure the workspace panel is showing.
format long g;format compact;fontSize = 25;%===============================================================================
% Get the name of the first image the user wants to use.
baseFileName = 'A.jpg';folder = fileparts(which(baseFileName)); % Determine where demo folder is (works with all versions).
fullFileName = fullfile(folder, baseFileName);% Check if file exists.
if ~exist(fullFileName, 'file') % The file doesn't exist -- didn't find it there in that folder.
% Check the entire search path (other folders) for the file by stripping off the folder.
fullFileNameOnSearchPath = baseFileName; % No path this time.
if ~exist(fullFileNameOnSearchPath, 'file') % Still didn't find it. Alert user.
errorMessage = sprintf('Error: %s does not exist in the search path folders.', fullFileName); uiwait(warndlg(errorMessage)); return; endend%=======================================================================================
% Read in demo image.
rgbImage = imread(fullFileName);% Get the dimensions of the image.
[rows, columns, numberOfColorChannels] = size(rgbImage);% Display the original image.
subplot(2, 2, 1);imshow(rgbImage, []);axis on;caption = sprintf('Original Color Image, %s', baseFileName);title(caption, 'FontSize', fontSize, 'Interpreter', 'None');% Set up figure properties:
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0.05 1 0.95]);% Get rid of tool bar and pulldown menus that are along top of figure.
% set(gcf, 'Toolbar', 'none', 'Menu', 'none');
% Give a name to the title bar.
set(gcf, 'Name', 'Demo by ImageAnalyst', 'NumberTitle', 'Off')drawnow;hp = impixelinfo(); % Set up status line to see values when you mouse over the image.
[rows, columns, numberOfColorChannels] = size(rgbImage)if numberOfColorChannels > 1 % It's not really gray scale like we expected - it's color.
% Use weighted sum of ALL channels to create a gray scale image.
% grayImage = rgb2gray(rgbImage);
% ALTERNATE METHOD: Convert it to gray scale by taking only the green channel,
% which in a typical snapshot will be the least noisy channel.
grayImage = rgbImage(:, :, 1); % Take red channel.
end% Display the image.
subplot(2, 2, 2);imshow(grayImage, []);axis on;caption = sprintf('Gray Image');title(caption, 'FontSize', fontSize, 'Interpreter', 'None');hp = impixelinfo();drawnow;% Display the histogram of the image.
subplot(2, 2, 3);histogram(grayImage, 256);caption = sprintf('Histogram of Gray Image');title(caption, 'FontSize', fontSize, 'Interpreter', 'None');grid on;drawnow;%=======================================================================================binaryImage = grayImage < 150;% Keep only the largest blob.
binaryImage = bwareafilt(binaryImage, 1);% Display the masked image.
subplot(2, 2, 3);imshow(binaryImage, []);axis on;caption = sprintf('Binary Image');title(caption, 'FontSize', fontSize, 'Interpreter', 'None');hp = impixelinfo();drawnow;% Get the bounding box of the blob.
props = regionprops(binaryImage, 'BoundingBox');boundingBox = [props.BoundingBox]% Display the original image.subplot(2, 2, 4);imshow(rgbImage, []);axis on;caption = sprintf('Original Color Image, %s', baseFileName);title(caption, 'FontSize', fontSize, 'Interpreter', 'None');% Plot the bounding box over it.
hold on;rectangle('Position', boundingBox, 'LineWidth', 2, 'EdgeColor', 'r')
Best Answer