Add second year

second/semester2/CT248/Assignments/Assignment-04/imageprocessing.m

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+clear;
+eng1 = imread("Engineering-Building.jpg");
+eng1_gs = pic2grayscale(eng1);
+eng1_gs_inv = transform_pic(eng1_gs);
+eng1_gs_bin_50 = transform_threshold(eng1_gs,50);
+eng1_gs_bin_75 = transform_threshold(eng1_gs,75);
+eng1_gs_bin_100 = transform_threshold(eng1_gs,100);
+
+% plotting images
+subplot(3,2,1),imshow(eng1),title("Original Picture"); 
+subplot(3,2,2),imshow(eng1_gs),title("Greyscale"); 
+subplot(3,2,3),imshow(eng1_gs_inv),title("Inverted Greyscale"); 
+subplot(3,2,4),imshow(eng1_gs_bin_50),title("Binary Threshold = 50"); 
+subplot(3,2,5),imshow(eng1_gs_bin_75),title("Binary Threshold = 75"); 
+subplot(3,2,6),imshow(eng1_gs_bin_100),title("Binary Threshold = 100"); 

second/semester2/CT248/Assignments/Assignment-04/pic2grayscale.m

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+function [returnImg] = pic2grayscale(img) 
+% which uses the NTSC Standard transformation to convert RGB to grayscale. 
+    %0.2989 * R + 0.5870 * G + 0.1140 * B
+
+    % img to be returned
+    returnImg = zeros(size(img,1), size(img, 2)); 
+
+    % looping through the RGB image and calculating the grayscale value for
+    % each pixel in the corresponding returnImg
+    for i = 1:size(img,1) 
+        for j = 1:size(img,2)
+            returnImg(i,j) = (0.2989 * img(i,j,1)) + (0.5870 * img(i,j,2)) + (0.1140 * img(i,j,3));
+        end 
+    end
+    
+    returnImg = uint8(returnImg);
+end

second/semester2/CT248/Assignments/Assignment-04/transform_pic.m

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+function [img] = transform_pic(img)
+% function which converts a 255 colour code to 0, 254 to 1, etc, and 0 to
+% 255. 
+    img = 255 - img;
+end

second/semester2/CT248/Assignments/Assignment-04/transform_threshold.m

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+function [img] = transform_threshold(img, threshold) 
+% function which converts the picture to binary format where any value 
+% above the threshold is white (1), and all values equal to or below are
+% black (0). 
+
+    % looping through each element in the matrix, and setting it to 1 if
+    % above the threshold, 0 otherwise
+    for i = 1:numel(img) 
+        if img(i) > threshold 
+            img(i) = 1; 
+        else 
+            img(i) = 0; 
+        end
+    end
+    
+    % casting the matrix to type logical once each element is either 1 or 0
+    img = logical(img);
+end