• Crack Detection Matlab Code For Bisection Form

Hello friends, hope you all are fine and having fun with your lives. Today, I am going to share a new project which is Motion Detection in MATLAB. In this project, I am gonna detect the motion in MATLAB. This project was designed for security purposes and the condition was to use MATLAB instead of PIR Sensor. We all know that PIR sensor is used for motion detection but for that we have to design a hardware but using this software we can easily detect any motion using MATLAB.

In this project, I have used the webcam and then applied a simple image processing algorithm, designed in MATLAB. Using this algorithm I have detected the motion in the environment. That’s a quite simple project and you are gonna like this one. The code and complete simulation is given below for download. So, let’s get started with Motion Detection in MATLAB:

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Motion Detection in MATLAB

• First of all download the Motion Detection in MATLAB simulation by clicking the below button:

Matlab Code Example. Automatic Surface Crack Detection in Concrete Structures Using. Automatic surface crack detection in. Keywords: Crack Detection. Eggshell crack detection based on acoustic response and support vector data description algorithm. It could be easily extended and used in 3. D video conferencing applications.

Download the MATLAB Simulation

• Now you can see it has three buttons on it.

• Now, click on the Start Comparison button and the software will start and will start capturing from the webcam.
• It will also show the captured image in the second zone and if there’s no change then the text below will show No Change, as shown in below figure:

• You can see as there’s no motion in the room that’s why it says No change in above figure.
• Now, let’s create some motion, so I am taking my hand in front of the cam and let’s see what results we got in the below figure:

MATLAB Codes

• The code behind Capture Image button is as follows:

• In the above code, first of all, I created an object of the webcam and then took a screenshot from that webcam.
• After that I saved that image in the project directory and named it as A.jpg.
• If you check your project directory then you will find this image.
• Now let’s have a look at the code behind Start Comparison Button:

• This is the main code of this Motion detection in MATLAB project.
• Here, again I am creating an object of the webcam and taking a screenshot.
• After that I am saving this screenshot in the project’s directory and I have renamed it as B.jpg.
• So, now I have two images A and B.
• After that I have converted both of these images to grey scale and calculated their histogram error and on the basis of this error I have detected the motion.
• Finally I have created a Serial Port object, if you don’t wanna use serial port then simply remove this code.

So, that’s all for today, I hope you have enjoyed the motion detection in MATLAB. If you have any questions, then ask in comments and I will resolve them.

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Category: MATLABBy Syed Zain Nasir7 Comments

Crack Detection Matlab Code For Bisection Form

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%% created by renny thomas

%% date 2/2/2017

%% load image

I=imread('3.jpg');

figure,imshow(I)

title('Original image')

%% Image adjust

Istrech = imadjust(I,stretchlim(I));

figure,imshow(Istrech)

title('Contrast stretched image')

%% Convert RGB image to gray

Igray_s = rgb2gray(Istrech);

figure,imshow(Igray_s,[])

title('RGB to gray (contrast stretched) ')

%% Image segmentation by thresholding

%use incremental value to run this selection

%till required threshold 'level' is

%achieved

level = 0.2;

Ithres = im2bw(Igray_s,level);

figure,imshow(Ithres)

title('Segmented cracks')

Ithres = ~Ithres;

figure,imshow(Ithres)

BW = bwmorph(Ithres,'thin', inf);

figure,imshow(BW)

title('Thinned image')

BW = imfill(Ithres, 'holes');

figure,imshow(BW)

title('Filled image')

%% Image morphological operation

BW = bwmorph(Ithres,'clean',10);

figure,imshow(BW)

title('Cleaned image')

figure,imshow(BW)

title('final output')

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