Practical Implementation of Image Segmentation and Enhancement Techniques Using MATLAB

الملخص

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.