Welcome to the Image Segmentation Algorithm project! This MATLAB-based algorithm is designed to separate images of receipts from other image types using fundamental image processing techniques.
This mini project explores the following key components:
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Image Import and Display: Initial steps involve importing and displaying color and grayscale images.
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Image Manipulation Techniques: Basic image manipulation methods are employed to enhance visual quality and prepare images for further processing.
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Binary Image Generation: Thresholding techniques are used to create binary images, a crucial step in the segmentation process.
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Preprocessing and Postprocessing Techniques: Elementary preprocessing and postprocessing methods are applied to refine image segmentation for improved accuracy.
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Metric Development: A straightforward metric is developed to classify images, providing a foundation for basic image classification.
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Application to Image Files: The algorithm is tested on a small set of image files, evaluating its performance in separating receipt images from others.
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Receipt Detection Capability: The algorithm serves as a starting point for distinguishing receipt images, with potential applications in more advanced receipt recognition systems.
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Educational Value: This project can be used as a learning resource for those interested in exploring image processing in MATLAB, offering insights into fundamental techniques.
To run the algorithm and explore its capabilities, follow these steps:
- Clone this repository to your local machine.
- Open the MATLAB script (
main_algorithm.m) in MATLAB. - Run the script and observe the results.
Feel free to modify the code, experiment with parameters, and contribute to the project's enhancement.
I extend my sincere gratitude to MathWorks for providing the robust platform of MATLAB, which significantly contributed to the successful implementation of this algorithm.
If you have ideas for improvements or additional features, feel free to open an issue or submit a pull request. Your contributions are highly appreciated!
Shubham Sharma ECE student at Vellore Institute of Technology https://www.linkedin.com/in/shubham-sharma-89bb56211/