please guide me how to call a function in matlab codes

Please help me how to make it becuse im not getting any result when I run it

% Clear the Variable and the Command window
clc, clear all 
function ImageProcessing();     ((((( this function is not working when i run it ))))
% Read the Image
img = imread('DUBAI.jpg'); 
% Resize the Image 
img1 = imresize(img,[256 256]); 
% Display the image
figure, 
subplot(3,2,[1,2,3,4]),imshow(img),title('Image from my phone')
subplot(3,2,5.5),imshow(img1),title('Original Resized Image') 
% Convert the RGB image to greyscale
img2 = rgb2gray(img1); level = graythresh(img2); 
% Apply the thresholding for binarization 
BW = imbinarize(img2,level); 
% Display the greyscale and binary image
figure,
subplot(211),imshow(img2),title('Greyscale Image'),
subplot(212),imshow(BW),title('Binary Image') 
% Rotate the images 
BW90 = imrotate(BW,90); 
img290 = imrotate(img2,90); 
img190 = imrotate(img1,90); 
img90 = imrotate(img,90); 
% Display the rotated images 
figure, 
subplot(231),imshow(img1),title(' coloured image'),
subplot(232),imshow(img2),title(' Grey image'),
subplot(233),imshow(BW),title(' Binary image') 
subplot(234),imshow(img190),title('Rotated coloured image'),
subplot(235),imshow(img290),title('Rotated Grey image'),
subplot(236),imshow(BW90),title('Rotated Binary image') 
% Create and apply the filter
h = fspecial('average',3); 
img_low = imfilter(img1,h); 
I=(1/256)*img2;
c= (1/9) * [-1 -1 -1;
    -1 8 -1;
    -1 -1 -1];
img_high=conv2(I,c,'same');
% Display the Filtered image 
figure,
subplot(2,2,1.5),imshow(img2),title('Grey image') 
subplot(2,2,3),imshow(img_high),title('Image after high Filter') 
subplot(2,2,4),imshow(img_low),title(['Image after low Filter']) 
end

Answer 1

[David Hill]

Function runs fine.

File='sunrise.jpg';
ImageProcessing(File)

function ImageProcessing(File)
% Read the Image
img = imread(File); 
% Resize the Image 
img1 = imresize(img,[256 256]); 
% Display the image
figure, 
subplot(3,2,[1,2,3,4]),imshow(img),title('Image from my phone')
subplot(3,2,5.5),imshow(img1),title('Original Resized Image') 
% Convert the RGB image to greyscale
img2 = rgb2gray(img1); level = graythresh(img2); 
% Apply the thresholding for binarization 
BW = imbinarize(img2,level); 
% Display the greyscale and binary image
figure,
subplot(211),imshow(img2),title('Greyscale Image'),
subplot(212),imshow(BW),title('Binary Image') 
% Rotate the images 
BW90 = imrotate(BW,90); 
img290 = imrotate(img2,90); 
img190 = imrotate(img1,90); 
img90 = imrotate(img,90); 
% Display the rotated images 
figure, 
subplot(231),imshow(img1),title(' coloured image'),
subplot(232),imshow(img2),title(' Grey image'),
subplot(233),imshow(BW),title(' Binary image') 
subplot(234),imshow(img190),title('Rotated coloured image'),
subplot(235),imshow(img290),title('Rotated Grey image'),
subplot(236),imshow(BW90),title('Rotated Binary image') 
% Create and apply the filter
h = fspecial('average',3); 
img_low = imfilter(img1,h); 
I=(1/256)*img2;
c= (1/9) * [-1 -1 -1;
    -1 8 -1;
    -1 -1 -1];
img_high=conv2(I,c,'same');
% Display the Filtered image 
figure,
subplot(2,2,1.5),imshow(img2),title('Grey image') 
subplot(2,2,3),imshow(img_high),title('Image after high Filter') 
subplot(2,2,4),imshow(img_low),title(['Image after low Filter']) 
end