

Propert圜ontroller (checkerboard, 'imageMatrix', ( s) uint8 ( rand ( 10, 10. Create a controller to change the checkerboard image matrix every frame. I also make the size of the marker large enough so you can see the red dots (i.e. Image (checkerboardMatrix) Set the minifying and magnifying functions to form discrete stixels. I use plot to do this and ensure that we plot red circles (i.e. These coordinates will serve as the centre of where the circles will be placed. After, we take these locations and plot red circles. The find command used in this case finds all of the row and column locations in your checkerboard matrix m that have the value 0. So it's important that you have hold on there.
#MATLAB CHECKERBOARD MATRIX UPDATE#
If you tried to update the figure to add more content on it, the figure would overwrite with the new content and not keep the old content. Hold on is to allow more updates to the window that contains your checkerboard pattern.
#MATLAB CHECKERBOARD MATRIX CODE#
That can be done by finding all of the coordinates in your checkerboard that contain the value 0, then plotting these points in red: %// Code from before. Now the last thing you need to do is plot red circles where each black square is. For the purposes of your checkerboard, use the gray colour map: imagesc(m) colormap gray įor completeness, a list of all colour maps (excluding the new parula colour map introduced as of R2014b) can be found here: MATLAB CODY CHALLENGE Problem 4 Checkerboard matrix Satadru Mukherjee Mathematics, MATLAB BASICS, MATLAB Codes, MATLAB for Beginners, MATLAB Program for beginners Given an integer n, make an n-by-n matrix made up of alternating ones and zeros as shown below. There are many colour maps you can choose from. However imagesc additionally scales the output so that the smallest value and largest values encountered in the matrix go to the lower and higher end of the colour map respectively. The smallest value is visualized to be the lower end of the colour map while the largest scale is visualized to be the higher end of the colour map. The purpose of both commands is to display an image from a matrix.

You can use image or imagesc: imagesc(m) You've created the checkerboard pattern correctly.
