Digital Image Processing Projects for MTech, ME & PhD

Thesisconcepts are involved in developing Full custom or semi custom digital image processing projects to justify various need of Academic or university ,for the completion of MTech/ME/Masters or PhD degree. Digital image processing techniques help in manipulation of the digital images by using computers. The three general phases that all types of data have to undergo while using digital technique are pre-processing, enhancement, and display, information extraction. Normally Electrical & Electronics engineering, Computer science engineering, Information technology engineering MTech,ME,Masters or PhD aspirants or research scholars are frequently opt this segment for their contemporary research. Thesisconcepts helps in IEEE base paper selection for Digital Image Processing in area of computer science engineering, electrical engineering, communication engineering and information technology. Thesisconcepts provides project support & guidance for final year IEEE Digital Image Processing Projects.

Digital Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. It is a type of signal processing in which input is an image and output may be image or characteristics/features associated with that image. Nowadays, image processing is among rapidly growing technologies


List of Digital Image Processing IEEE Projects for MTech,ME & PhD

Following are the broader categories of Image processing work.

  • Classification
  • Feature extraction
  • Segmentation
  • Registration
  • Pattern recognition
  • Projection
  • Multi-scale signal analysis

Some techniques which are used in digital image processing include

  • Pixelization
  • Linear filtering
  • Principal components analysis
  • Independent component analysis
  • Hidden Markov models
  • Anisotropic diffusion
  • Partial differential equations
  • Scale Invariant feature Transform
  • Self-organizing maps
  • Neural networks
  • Discrete wavelet transforms