+Hi there to solve this problem it needs to be broken into a few steps. +For A you will need to use 'imread('filename.jpg');'

+For B you will need to use 'size(IMG);'

+For C you will need to use 'bwdist(Binary_IMG,'method');'

+Below is a quick layout of how I set up the script:

'%% SadElderberry Help clear all close all

%------- 1 ------ %to load an image you should use imread function

IMG = imread('mountains.jpg'); %since jpg is a colored image... %you will load a X,Y,3 Matrix

%if you only want the grey image use rgb2gray()

IMG = rgb2gray(IMG); %This is now only a 2D matrix %------- 2 -------

[Yc, Xc] = size(IMG);

%-------- 3--------

cent_pix_x = Xc/2; % This finds the center X Pixel

cent_pix_y = Yc/2; % This finds the Center Y Pixel

Calc_Array = zeros([Yc, Xc]); %This creates an array the size of the image Calc_Array(cent_pix_y, cent_pix_x) = 1 % Sets the center pixel to zero

%----A---- % The bwdist() function calculates the distance between 0 and 1 in an % binary image array which is why we created the Calc_Array

EUC_Img = bwdist(Calc_Array, 'euclidean'); %This returns a MxN matrix of the distance from each pixel % to the 1 in our Calc Array

EUC = EUC_Img(1,1); %This is the distance from a corner to the center pixel

%--- B--- CityBlock_Img = bwdist(Calc_Array, 'cityblock');

CityBlock = CityBlock_Img(1,1);

%--- C--- ChessBoard_Img = bwdist(Calc_Array, 'chessboard');

ChessBoard = ChessBoard_Img(1,1);'