Contrast Enhancement of Medical Images Using Statistical Methods with Image Processing Concepts

Project Code :TMMAIP66


In this study, a simple algorithm is developed, where it utilizes a combination of image processing concepts and statistical methods to enhance the image.


This paper reports the low contrast problem of medical images. The low contrast medical images are incapable to process efficiently. This problem can be overcome by using the image processing and statistical techniques. Contrast stretching and standard logistic is used to stretch the intensity values and to adjust the contrast of the medical image. A logarithmic image processing is used to combine the features of these two techniques. To control the stretching process two parameters are measured and enhancement is processed. To enhance the medical images with better quality linear combination is applied. Finally, parameters like accuracy, PSNR and brisque are measured. This implementation gives the better results for enhanced medical images compared with other methods.

Keywords — Contrast Enhancement, Medical Images, Image Processing, Statistics.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram


Hardware & Software Requirements:

Software: Matlab R2018a or above.


Operating Systems:

  • Windows 10
  • Windows 7 Service Pack 1
  • Windows Server 2019
  • Windows Server 2016


Minimum: Any Intel or AMD x86-64 processor

Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support


Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation

Recommended: An SSD is recommended a full installation of all Math Works products may take up to 29 GB of disk space.


Minimum: 4 GB

Recommended: 8 GB

Learning Outcomes

  • Introduction to Matlab
  • How to start with MATLAB
  • About Matlab language
  • Matlab coding skills
  • About tools & libraries
  • Application Program Interface in Matlab
  • About Matlab desktop
  • How to use Matlab editor to create M-Files
  • Features of Matlab
  • Basics on Matlab
  • What is an Image/pixel?
  • About image formats
  • Introduction to Image Processing
  • How digital image is formed
  • Importing the image via image acquisition tools
  • Analyzing and manipulation of image.
  • Phases of image processing:
    • Acquisition
    • Image enhancement
    • Image restoration
    • Color image processing
    • Image compression
    •  Morphological processing
    • Segmentation etc.,
  • How to find the contrast problem using Image Processing
  • How to extend our work to another real time applications
  • Project development Skills:
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills

Demo Video

Related Projects

Final year projects