Matlab PHD thesis work could be assisted from our concern. Thesis work to be done with code development and mathematical calculations of algorithms, methodologies and techniques.

Matlab Functions:

  • Using matlab to work with very large systems of equations.
  • Matlab matrix functions are used to perform standard operations like numerical manipulations.
  • Math functions are used to perform mathematical calculations and generating plots.
  • Usually matlab is a case sensitive which is used to solve problems at a time of building complicated algorithms.

Matlab Uses on Thesis:

  • Decision making is an important function in matlab which is used to perform several algorithms and techniques in an easiest manner.
  • Polynomial function used to done the process of polynomial curve fitting.
  • Matlab Import function should be used to perform taking any kind of input and perform processes according to the objectives.


Advanced Images Support for Matlab Thesis:

  • Variety of image distances are used for image classification, alignment and comparison.
  • Tracking feature points in a sequence of images.
  • Support for storing meta data in images including EXIF data.


MATLAB Thesis PhD Topics: 

  • Medical Imaging.
  • Signal Processing.
  • Digital Image Processing.
  • Remote Sensing.
  • Analyses on the Spheroid
  • Human perception of evolving geographic patterns.
  • Interactive segmentation of structures in 3D medical images.
  • Light Field and Active Illumination.
  • Stochastic Models.
  • Image Segmentation and Classification.
  • Scientific Imaging.
  • Video Analysis.
  • Recognition of partially occluded and deformed binary objects.


MATLAB THESIS PHD Sample Code for Curve Fitting:-

x = [1 2 3 4 5 6]; y = [5.5 43.1 128 290.7 498.4 978.67]; %data
p = polyfit(x,y,4) %get the polynomial
% Compute the values of the polyfit estimate over a finer range,
% and plot the estimate over the real data values for comparison:
x2 = 1:.1:6;
y2 = polyval(p,x2);
grid on

MATLAB THESIS PHD Sample Code for Image Retrieval using bag of features:-

Select image features for retrieval:
% Display a few of the flower images
Create bag of Features:
% Load pre-trained bagOfFeatures
Index Images:
% Create a search index
% flowerImageIndex = indexImages(flowerImageSet, colorBag, ‘SaveFeatureLocations’, false);
% Load the pre-saved index
load(‘savedColorBagOfFeatures.mat’, ‘flowerImageIndex’);

Search similar images:
% Define a query image
queryImage = read(flowerImageSet, 502);


% Search for the top 20 images with similar color content[imageIDs, scores] = retrieveImages(queryImage, flowerImageIndex);