MATLAB assignments often test your ability to apply theoretical concepts to real-world problems. Today, we'll delve into a challenging topic that frequently appears in university-level assessments: Digital Image Processing. This field encompasses various techniques for enhancing, analyzing, and manipulating digital images, making it both complex and fascinating.

Understanding the Concept

Digital Image Processing in MATLAB involves using algorithms to perform operations on images. A common task is Image Enhancement, where we aim to improve the quality of an image for better analysis or visualization. Techniques like histogram equalization, noise reduction, and sharpening filters are fundamental to this process.

Sample Assignment Question

Question: You are given a grayscale image that suffers from low contrast. Using MATLAB, enhance this image using histogram equalization. Explain each step clearly.

Step-by-Step Guide

1. Load the Image: Start by importing your grayscale image into MATLAB using the imread function.

2. Display the Image: Use imshow to display the loaded image and visualize its current contrast issues.

3. Perform Histogram Equalization:

   • Utilize the histeq function in MATLAB to perform histogram equalization on the image.
   • This function enhances the contrast of the image by redistributing pixel intensities.

4. Display Enhanced Image: Show the newly enhanced image using imshow again to observe the improvement in contrast.

5. Save Your Work: Finally, save the enhanced image using imwrite for future reference or submission.

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Conclusion

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