Free Matlab Codes

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Code for Matlab Projects provides you complete code support for your projects, assignments, and also research work. Today many scholars and students are undertaking code for Matlab projects due to its advanced research scope and applications. The major problem they face is the implementation part of their project.

We provide complete support for your project implementation along with the project report. Also, We have an experience of 10 years, which makes us an expert in Matlab. We can also provide code for any topic, project, or assignment within minutes through our online support. If you want to use our expertise and also experience, contact us.

Major Idea For Matlab Code Projects

Code for Matlab Projects is a support provided by us for our students and scholars who feel it difficult to code. We also have developed nearly 1000+ projects in Matlab for students all over the world. In general, We provide online guidance to students to support them for their project and assignment codes.

And We have provided a few file extension also used in Matlab, for students to understand the significance of each file. We have also provided a few program examples and topics for students to get an idea about Matlab code and projects.

Code File Extensions Used In Matlab

  • Matlab figure(.fig)
  • Mat-lab M-file(.m)
  • Matlab data file(.mat)
  • Mat-lab MEX files(.mex)- also in Platform specific[MAC(mexmac) and also Linux(mexgix)]
  • Matlab content also obscured (p-code-.p)
  • Mat-lab Packaged Installer(.mlappinstall)
  • Support package Installer(.mlpkginstall)
  • Packaged custom toolbox(.mltx)
  • Matlab Project files(.prj)
  • And so on

Sample Codes Used In Matlab Projects

Example 1: Binarizing Image Using Locally Adaptive Thresholding

Read grayscale image into workspace.

I = imread(‘imag.png’);

Codes

Convert grayscale image also to binary image.

BW = imbinarize(I, ‘adaptive’);

Display original image alongside binary version.

figure imshowpair(I,BW,’montage’)

Example 2: Matlab Code Also For Contrast Enhancement

pout_imadjust = imadjust(pout);

pout_histeq = histeq(pout);

pout_adapthisteq = adapthisteq(pout);

imshow(pout);

title(‘Original_Img’);

figure, imshow(pout_adjust_img);

title(‘adjust_img’);

Example 3: Matlab Code For Saturation Modification In The Background

HSV = rgb2hsv(A); %Conversion of RGB to HSV

H = HSV(:,:,1); %Hue

S = HSV(:,:,2); %Saturation

H( H > mean2(H) ) = 0.42;

S( H < mean2(H) )=0;

S( H >= mean2(H) )=1;

HSV(:,:,2) = S;

HSV(:,:,1) = H;

img= hsv2rgb(HSV);

figure,imshow(img);

Matlab code download

title(‘Saturation Modified for Background’);

Example 4: Matlab Code For Prewitt Filter And Canny Edge Filter

% After color conversion apply filtering using prewitt filter

afterFilter = edge(grayImage,’prewitt’)

imshow(afterFilter);

% For canny edge filter

cannyResult = edge(grayImage,’canny’)

imshow(cannyResult)

These are few sample codes used in all major Matlab projects. You can contact us anytime for any help regarding your project code and also implementation. We have also provided few Matlab project topics below for students’ reference.

  • An efficient Segmentation mechanism also designed for Logistic Regression-HSMM-Based Heart Sound Segmentation
  • A novel performance Influence of Modeling Errors on the Initial Estimate also intended for Nonlinear Myocardial Activation Times Imaging Calculated with Fastest Route Algorithm
  • An efficient approach a Muscle Fibre Conduction Velocity Tracking ASIC even also for Local Fatigue Monitoring
  • The Automated performance detection of plasmodium falciparum also from Giemsa-stained thin blood films

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Matlab Code Download

We are IEEE Project solution providers specialized in image Processing ,Signal Processing and Soft Computing Algorithms. Our team is ready to Support and guide the Students of B.E, M.E, MSc ,MCA ,BSc & Diploma for doing their Academic Projects using Matlab, Scilab and LABVIEW. If you have own idea regarding your project we will help you to implement your project in the above mentioned tools with nominal cost.

The project areas are listed below

  • Artificial Intelligence
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  • Face Recognition
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  • Bio-Signal Processing
  • Human Voice Processing
  • Image Stenography ,Watermarking
  • Speaker Recognition
  • ECG Signal Processing
  • EEG Signal Processing
  • Palm Print Image Recognition
  • Video Processing
  • Fusion Technology
  • Vivado sysgen

Cool Matlab Codes

Highlights

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Matlab Code Examples For Simulation

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