We offer Matlab Projects for Final Year Engineering students  from departments like information technology, electronics and communication, EEE and Computer science. Matlab is an efficient tool which can manipulate an image by considering them as matrix. It solves linear equations. Various processes such as 2D and 3D plots, visualization and animation are performed with the help of Matlab. The sub domains that can be used by engineering students for their projects arte medical imaging, signal processing, biometrics communication and security.

Image processing Methods:Students can pick out the image processing method based on their needs. Such image processing methods are as follows:

  • Feature detection.
  • Antialiasing Filters.
  • Histogram equalization.
  • Image Processing.

Feature Detection:

Features that help in developing several computer applications are extracted and maintained by this process. The input image is processed as points. This process of points is divided as align and correspondence. The images are aligned as composite mosaic and corresponded as 3D models. Accurate locations of various images are figured out using point features.

Medical Image Processing projects can be done by students of information technology, electrical and instrumentation, computer science, biomedical engineering and electrical and instrumentation. Projects on medical imaging lets get closer details on human organs.Medical imaging Processing Projects is the emerging branch of medicine and technology.

Medical Image Processing Projects

Digital image processing is a processing of scene data to be automatically processed by machine. Digital images are captured from digital cameras and scanners which have some pixel resolution, colors and image quality.Image analysis is a process of solving a problem of extracting information during manipulation of images in Image Processing Projects.

Digital Image Processing Projects

Image processing, computer vision and computer graphics are the categories of this field. Thesis should follow the sequence of problem formulation, creation of proposed algorithm, implementation and results. The manuscript of thesis should be published in a journal.Geoscience, remote sensing, medical imaging and signal processing are the promising areas of Image Processing thesis.

Image Processing Thesis

Histogram Equalization:

A transformed image can be brought back to its original state by this process. The gray scale value is expanded to the entire image. Edge enhancement process is also performed using histogram equalization.

Antialiasing Filters:

Areas f high frequency is removed using this process. Its concern is only on filtering and obtaining perfect results. Super sampling and increase sampling are the two types of anti- aliasing. By super sampling every pixel must be sampled at various points. These points can be selected randomly or by uniform grid or pseudo-random. Points, lines and triangles are found in OpenGL anti-aliasing.

Image Mosaicing:

Camera captured images are the input for image mosaicing. Camera angles can be traced using mosaicing program. Documents can be classified as texts and pictures. This is done using correlation technique. Various tele-reality applications are supported by image mosaicing in matlab projects for final year engineering students.


  • End user applications.
  • 3D Model building applications.
  • Planer mosaicing Applications.

Image Enhancement:

Various features of an image are enhanced for human observers’ sake. Frequency domain method and spatial domain method are two types of Image enhancement method. Fourier transform is used in frequency domain method. Pixels of an image are manipulated and enhance in spatial domain method.

Future Scope:

Issues of degeneracy, rank definitions, and uniqueness can be resolved. Various advanced signal processing concepts are offered by us especially for engineering students.