# Image Processing and Counting Using MATLAB

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## Introduction: Image Processing and Counting Using MATLAB

This is fun project based on image processing with MATLAB, here we will come accross learing how to count the number of distinguishable objects in an image. Sounds fun ,dosen’t it …So lets get started!

The following tutorial is performed with the help of MATLAB. MATLAB stands for “MATrix LABoratory” and is a numerical computing environment and fourth-generation programming language, developed by MathWorks. Using MATLAB, we can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran.

The tutorial can be performed by executing the commands in each step sequentially in the command window of MATLAB.

## Step 1: Read the Image

An image is choosen so that it has considerable contrast with its background so that the objects can be identified. The function imread reads the image from a given location and stores it in the matrix img1. The imshow function displays the image.

imshow(img1)

## Step 2: Convert the Image to Grayscale

This step removes any color information in the image to make it easier to identify objects. The rgb2gray converts the color image into a grayscale image and stores it into the matrix img2.

img1=rgb2gray(img1);
imshow(img1)

## Step 3: Threshold the Image

This step thresholds the image by converting the grayscale image into an image that contains only two colors. The function im2bw() assigns black color to all the pixels that have luminosity than a threshold level and the others as white. the function graythresh() approximately calculates the threshold of the image.

img2=im2bw(img1,graythresh(img1));
imshow(img2)

## Step 4: Complement the Image

In this step we complement the image by using the ~ operator. By this we convert the white patches into black and vice versa. We perform this step as we wanted the areas of concern(objects) to be colored white.

img2=~img2;
imshow(img2)

## Step 5: Find the Boundaries of the Objects

This step finds the boundaries of each object that it finds and stores it in B. The text function prints the number of objects that are found by bwboundaries.

B = bwboundaries(img2);
imshow(img2)
text(10,10,strcat('\color{green}Objects Found:',num2str(length(B))))
hold on

## Step 6: Draw the Boundaries

This is a fun step in which we mark the boundaries of all the objects identified by bwboundaries function. This step can be eliminated if it seems complicated

for k = 1:length(B)
boundary = B{k};
plot(boundary(:,2), boundary(:,1), 'g', 'LineWidth', 0.2)
end

## Step 7: The Code

imshow(img1)

img1=rgb2gray(img1);
imshow(img1)

img2=im2bw(img1,graythresh(img1));
imshow(img2)

img2=~img2;
imshow(img2)

B = bwboundaries(img2);
imshow(img2)
text(10,10,strcat('\color{green}Objects Found:',num2str(length(B))))
hold on

for k = 1:length(B)
boundary = B{k};
plot(boundary(:,2), boundary(:,1), 'g', 'LineWidth', 0.2)
end

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## Questions

Will this code work for my image? And also, if there were a number of objects that weren't included, can I include them on my own? What I'm trying to do is to count these objects, get a distribution of the size, and a distribution of their colors.

Can you please tell me the software that you are using?? is it MATLAB r2017a or something else??

thank you

Hello!
How can i take one frame or image from live streaming video to process it?

hy guys

i need some help

i have an image of a scanned txt and i want to do kmean clustering....into 3 clusters of background, upground and dity areas...

thnx buddy

thnx buddy

Thanks you :)

thank you.. a great help for me.. :) .. i only found this easy toturial to do that task after searching .. God bless u dear

good job..
my question: how about vehicle...? how to counting vehicle?
here the picture: http://postimg.org/image/m1u3jyqlp/

NIce work done. Like this can u tell how to detect objects in an image and find their locations. It will be very useful.

It is possible that the objects appear overlapped in image. Is it still possible to count their numbers?

My girlfriend had to do something like this for a class using Matlab. Too bad she didn't read this first!

thx bro

nice work

Aditya bhai this is slick......... I am loving it great work