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Azman bin Abdul Gani (74247)

Debbie Queenicilova Tomas @ Jission (79204)

Nurajilah binti Gibin (80738)

Nur Shafika binti Mohamad Baslullah (82020)

Zurina binti Sidru (81572)

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This is one of the implementation for part A. This code reads a color image, converts it to grayscale, performs histogram equalization to enhance contrast, displays the processed image and its histogram, writes the result to a new file, and provides information about the new image file.

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MATLAB in one of our member's computer. Good to go!

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Using the tutorial slides and videos provided on Eleap, we successfully set up MATLAB and am now prepared to explore data analysis, simulations, and other areas! 🚀

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12 February 2024

Our modularized code features functions such as imshow and medfilt2, offering seamless integration for grayscale image display, noise removal, histogram creation, image thresholding, intensity adjustment, edge detection, and Hough Transform-based line detection.

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12 February 2024

We developed a MATLAB program for feature extraction from black and white binary images. After acquiring or generating binary images, we implemented a concise feature extraction algorithm. Visual examples in the report showcase the successful feature extraction.

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13 February 2024

For the Part C question i, we found the answer based on the code but when we want to train the data, it took so long to reached the 15 maximum epoch.