Added selecting objects example

selecting_objects/README.md

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+# Selecting objects
+
+## Topic
+
+Selecting objects in a color image
+
+## Aim
+
+Implement an image binarization algorithm with a choice of a threshold by
+distance in the RGB color space, evaluate the operation of the algorithm for
+selecting areas of objects of interest in the image.
+
+## Instructions:
+
+1. Upload an image of vegetables (vegetables.jpg ), select a small area
+belonging to the red pepper image on it and find for this area the average
+values for each RGB color channel $R_0$, $G_0$, $B_0$;
+2. Calculate the distance in the color space for each pixel of the image
+RGB to the found average value $\sqrt{(R-R_0)^2 + (G-G_0)^2 + (B-B_0)^2}$
+3. Convert the image to binary, while selecting the threshold for the distance d
+so that red vegetables are optimally highlighted in the image
+4. Display the result as a color image: pixels belonging
+to objects of interest (i.e. red vegetables) should retain the original color, and
+all other pixels should be painted black