template = importdata( 'waldo.png') ĭisplay findwaldobig imagesc(im) axis image ĭisplay waldo imagesc(template) axis image Load the two images waldo.png, and findwaldobig.jpg. Problem 3 - Where's Waldo with Template Matching 3.1 sobel = Ĭompute Gx, Gy, and G for the fruit image by following how it is done in the wikipedia article. Display Gx as a mesh in figure 4 with the colormap jet. Imagesc(A) axis image colormap( 'gray') Ĭompute Gx by convolving the sobel kernel with the A matrix. Overloaded functions or methods (ones with the same name in other directories)Ĭreate a new variable A that is 10x10 and contains all zeros except for the middle 6圆 elemnts which contain ones. See also CONV, CONVN, FILTER2 and, in the Signal Processing If any of A, B, H1, and H2 are empty, then C is That are computed without the zero-padded
'valid' - returns only those parts of the convolution 'same' - returns the central part of the convolution
Conways game of life heat map full#
'full' - (default) returns the full 2-D convolution, If = size(A) and = size(B), thenĬ = CONV2(H1, H2, A) convolves A first with the vector H1Īlong the rows and then with the vector H2 along the columns.Ĭ = CONV2(., SHAPE) returns a subsection of the 2-DĬonvolution with size specified by SHAPE: Print out the help for conv2,Īnd read through the wikipedia article on the Sobel Operator help conv2 CONV2 Two dimensional convolution.Ĭ = CONV2(A, B) performs the 2-D convolution of matricesĪ and B. The Sobel Operator is a way to do edge detection and is used in many computer vison applications. do not write the whole figure window, just the image. X(find(((neighbors > 3) | (neighbors 3) | (neighbors t) = 255 įigure(2) imagesc(Xthresh) axis image colormap( 'gray') Make the title for figure 1 show which iteration the simulation is at, and the percentage of cells which are equal to 1įigure(1) imagesc(X) axis image colormap gray drawnow.At each iteration plot the grid in figure 1, so you can see it animate, but plot white for 0s and black for 1s.Neighbors are computed as stated above (the grid wraps around itself like a torus).Only run 50 iterations of conways game of life and then stop.Implement and run conway's game of life on a 100x100 grid where initially 80% of the entries are randomly assigned to 1. Ĭircshift(X, ) + circshift(X, ) + circshift(X, ) + circshift(X, ) ĭisplay neighbors as a heatmap in figure 2 using the colormap jet figure(2) imagesc(neighbors) axis image drawnow Neighbors = circshift(X, ) + circshift(X, ) + circshift(X, ) + circshift(X, ) +. One big command, and it involves circularly shifting around and adding the original matrix X. On the boundary on the right for example may have neighbors on the left boundary. The grid should be connected left to right and top to bottom, so that it's continuous. Store the number of neighbors for each cell inĪ new variable called neighbors. figure(1) imagesc(X) axis image drawnow įor each cell of the grid, count how many of its 8 neighbors are equal to 1. Do not display X.Ĭhange the colormap to black and white and display X in figure 1, make sure to change the axis so that X is displayed as square. Make a grid of size NxN where 80% of the entries are randomly set to 1 and the rest are zero. Life is a wonderful example of how complex patterns can arise from very Make sure the html file adequately shows your work, (has images,Įtc.), and then email this file to making sure to include your name, and uni in the subject.Ĭonway's Game of Life is a cellular automation that operates on a 2D grid.
When you areĭone, publish this file to html using File > Publish To HTML (or the command publish('hw1.m', 'html') and create a new zipįile that is labeled with your UNI and homework number, in this format: bs2018_hw1.zip, that contains this original m file,Īnd the html directory created from publishing the file. Please fill in your name at the top of this page and write your answers under their corresponding question. Working with graphics, simple animation, and images Directions
Problem 3 - Where's Waldo with Template Matching.
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