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This article mainly shows you "how to use MATLAB to make a perfect photo wall", the content is easy to understand, clear, hope to help you solve doubts, the following let the editor lead you to study and learn "how to use MATLAB to make a perfect photo wall" this article.

Principle--

In fact, if the previous principle of image segmentation is understood, the principle of stitching pictures in this issue is needless to say.

Isn't the photo wall a big picture made up of many small pictures, that is to say, the photo wall is actually a large matrix made up of many small matrices. It suddenly became clear that it could be achieved by stitching these matrices together with a loop. (however, it is worth noting that they are usually rgb images, and if they are stitched in the original size, the matrix will be too large and the MATLAB will simply quit, so if there are many images, you need to use the imresize function to reduce it.)

-source code--

Clc

Clear

Close all

Warning off

%% I moved the folder temp where the pictures were saved to the current path, there are 16 pictures in it

Pics = struct2cell (dir ('temp\ * jpg'));% read pictures in the folder

Pics = Pics (1dint:);% get picture name

OnePic = imread (['temp\' Pics {1}]);% read the first picture

OnePic = imresize (OnePic,0.5);% the original image is relatively large, but after being combined into a photo wall, the photo wall is too large, so zoom out a bit.

M = size (OnePic,1);% gets the number of pixel lines of the first picture

N = size (OnePic,2);% get the number of pixel columns of the first picture

There are 16 pictures in temp

% Photo Wall set to 4x4 here

Row = 4% 4 lines

Column = 4% 4 columns

FullPic = uint8 (zeros (mendrowMagol 3));% initialize the photo wall

K = 1% initialize the counter to record the number of pictures

For I = 0:row-1

For j = 0:column-1

I_Temp = imread (['temp\', Pics {k}]);% read into photos

I_Temp = imresize (I_Temp, [MJI n]);% set all photos to the size of the first photo

FullPic (i*m+1: (iTun1) * m, j*n+1: (juni1) * n,:) = Itembox% stitching

K = kumb1bot% update counter

Imshow (fullPic)% displays the current photo wall

Drawnow% refreshes the screen

End

End

Imwrite (fullPic,'PicWall.jpg')% Save Picture

Since we want to save multiple pictures before, we use a four-dimensional array, and the fourth dimension is the number of photos. And here, we just need to save a picture, so we can save it in a three-dimensional array.

-- partial usage of imresize function--

Here I'd better paste the contents of help directly so that we can learn English together.

Imresize: Resize image.

B = imresize (A, SCALE) returns an image that is SCALE times the

Size of A, which is a grayscale, RGB, or binary image.

B = imresize (A, [NUMROWS NUMCOLS]) resizes the image so that it has the specified number of rows and columns. Either NUMROWS or NUMCOLS may be NaN, in which case imresize computes the number of rows or columns automatically in order to preserve the image aspect ratio.

Explain: in the first usage, SCALE is the multiple of magnifying the image matrix A, such as reducing it by 0.5 times and writing it by 0.5 times.

The second usage is that [NUMROWS NUMCOLS] puts the picture after resize with NUMROWS row pixels and NUMCOLS column pixels.

The first method is used in the program.

-effect--

My computer is a bit stuck, so the GIF below is a little slow at the beginning. (mainly because the matrix of the photo wall is a little large.)

The above is all the contents of the article "how to make a perfect Photo Wall with MATLAB". Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!

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