Practical Implementation of Image Segmentation and Enhancement Techniques Using MATLAB

Authors

  • Ahmed S. Mohamed Department of Electrical and Electronic Engineering College of Technical Sciences - Bani Walid, Libya Author
  • Ali Dhaw Muftah Aljadi Department of Electrical and Electronic Engineering College of Technical Sciences - Bani Walid, Libya Author
  • Taha Muftah Abu Ali Department of Mechanical Engineering, Collage of Technical Sciences, Bani Walid, Libya Author

Keywords:

image processing, variance growth method, MATLAB software

Abstract

This paper explores various aspects of digital image processing through practical implementation using MATLAB software. The study begins with reading and converting a given image (Termal.jpg) into grayscale analysis and threshold determination using the variance growth method to isolate objects from the background.  The final phase involves enhancing image contrast via histogram equalization, with previous processing steps reapplied to assess improvements. This study highlights essential techniques such as segmentation and contrast enhancement, demonstrating their effectiveness and application within MATLAB.

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Published

2025-07-10

Issue

Volume 1, No. 2, 2025

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Ahmed S. Mohamed, Ali Dhaw Muftah Aljadi, & Taha Muftah Abu Ali. (2025). Practical Implementation of Image Segmentation and Enhancement Techniques Using MATLAB. The Open European Journal of Applied Sciences (OEJAS), 1(2), 81-87. https://easdjournals.com/index.php/oejas/article/view/59