Merge: Hog feature extraction Added

Test.m

 %% Example Title
 % Let's use Edvard Munch's - skrik picture
-image = imread("colorHistogram/Edvard_Munch_-_Despair_(1894).jpg");
+img = imread("colorHistogram/Edvard_Munch_-_Despair_(1894).jpg");
 
 % Let's also display the picture to see how it originally looks
 %imshow(image);
 %% edgeMap - Test of implementation
-edgeImage = edgeMap(image);
+%edgeImage = edgeMap(img);
 
-imshow(edgeImage);
+%imshow(edgeImage);
 
+%% HOG - Test of implementation
+% "hog" contains feature vector based on histogram of oriented gradients
+% "visual" contains visualization object that can be used in plot method
+[hog, visual] = histogramOrientedGradients(img);
 
+figure,
+imshow(img),
+hold on,
+plot(visual),
+title("Hog features of image");
+
+% Using Cellsize this time
+[hog2, visual2] = histogramOrientedGradients(img, 32);
+
+figure,
+imshow(img),
+hold on,
+plot(visual2),
+title("Hog features using Cellsize");
 %% Section 2 Title
 % Description of second code block
 b = 2;