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I need help to identify the border and compare the images with the original image. I need guidance on How can I achieve this through processing or matlab or anything for beginner. for example look at the image below.
Original Image:
The Multiple Image: 
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Object detection is the process of finding instances of objects in images. In the case of deep learning, object detection is a subset of object recognition, where the object is not only identified but also located in an image. This allows for multiple objects to be identified and located within the same image.
A Polyptych – Many pictures in one image. A Photomontage – many photographs in one image. A Photomosaic – very many photographs, or elements of photos, creating a new pattern or picture.
The YOLO algorithm works by dividing the image into N grids, each having an equal dimensional region of SxS. Each of these N grids is responsible for the detection and localization of the object it contains.
When two mirrors are kept at an angle and an object placed in between the mirrors, multiple images are formed due to reflection from one mirror on to the other. The number of images of the object formed depends on the angle between the two mirrors.
The "multiple image" you showed is easy enough to handle using just simple image processing, no need for template matching :)
% read the second image img2 = imread('http://i.stack.imgur.com/zyHuj.jpg'); img2 = im2double(rgb2gray(img2)); % detect coca-cola logos bw = im2bw(img2); % Otsu's thresholding bw = imfill(~bw, 'holes'); % fill holes stats = regionprops(bw, {'Centroid', 'BoundingBox'}); % connected components % show centers and bounding boxes of each connected component centers = vertcat(stats.Centroid); imshow(img2), hold on plot(centers(:,1), centers(:,2), 'LineStyle','none', ... 'Marker','x', 'MarkerSize',20, 'Color','r', 'LineWidth',3) for i=1:numel(stats) rectangle('Position',stats(i).BoundingBox, ... 'EdgeColor','g', 'LineWidth',3) end hold off 
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