Image Processing Projects

Image Processing Projects

What is Digital Image processing? Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing. Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of Multidimensional Systems.Wikipedia

Image processing projects areĀ  relatively new domain for final year projects. The reason for this is the fact that tools and software for image processing have been available only over the past few years. These are software like Matlab, Simulink and Labview. With these softwares more easily available to students in their colleges and elsewhere the awareness of projects in image processing has grown. Added to this is the fact that many IEEE papers on Image processing are being published every day, and hence IEEE image processing projects are now possible.

As with DSP projects, Digital image processing (DIP) projects can either be done as matlab simulation projects or in real time hardware also. However the possibility of stand alone real time DIP projects is limited to a large extent because of the complicated and expensive hardware implementation. Hence for BE final year projects, image processing projects are largely based on Matlab simulation. Having said that there is always the possibility that in a image processing project, the image processing itself could be done on a computer and the result of the processing can be used to control a external hardware, in which case it becomes a very good combination of simulation and hardware implementation.

DIP projects can be based on the many signal processing techniques like…

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  • Pixelization
  • Linear filtering
  • Principal components analysis
  • Independent component analysis
  • Partial differential equations
  • Self-organizing maps
  • Neural networks
  • Wavelets

A typical project in image processing could use any of these techniques and sometimes even a combination of many of these DIP techniques. A final year project in DIP could use these techniques for a multitude of applications. There are many different application domains where Digital Image Processing has become a indispensable part of the domain. Some of these application domains where DIP projects are applicable are domain like…

  • Computer vision
  • Optical sorting
  • Augmented Reality
  • Face detection
  • Feature detection
  • Medical image processing
  • Remote sensing
  • Machine vision
  • Robotic Vision

Image processing is a domain that has application in almost all core departments like BE ECE, EEE, E&I, P&C and related departments. For each of these departments many projects using Matlab and Labview can be implemented, based on IEEE papers and publications. At Ensemble we recommend Image processing projects strongly for the reason that image processing is applicable in many application domains and is a upcoming technology with lots of promise in the future.

 


Download Project topics list for the year 2014-15 based on IEEE 2014 papers for final year projects in ECE, EEE, E&I Download Here

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