sushanthkumble/digital-imageprocessing

Welcome to the Image Processing Repository! This collection of Python programs is designed to showcase fundamental image processing techniques using popular libraries such as OpenCV, Matplotlib, and PIL. Whether you're a beginner looking to learn the basics or an experienced developer seeking reference implementations, this repository has something

Image Processing Repository

This repository contains a collection of Python programs for basic image processing tasks using various libraries such as OpenCV, Matplotlib, and PIL. Each program is designed to demonstrate specific image processing techniques and functions.

Programs Included:

1. Read, Display, and Save Image Using Various Libraries:

   • Reads an image using OpenCV, PIL, and Matplotlib.
   • Converts the image to grayscale using different libraries.
   • Displays the image using OpenCV, PIL, and Matplotlib.
   • Saves the grayscale images.

2. Image Attributes:

   • Retrieves and displays information about an image, including height, width, number of channels, and separates RGB channels.

3. Resize, Rotate, and Convert Image:

   • Resizes and rotates an image using PIL.
   • Converts the original image to binary.

4. Display Image Attributes:

   • Utilizes PIL and OpenCV to extract and display attributes of an image, such as width, height, number of channels, image type, and shape.

5. Arithmetic and Logical Operations on Image:

   • Performs arithmetic operations (addition, subtraction, multiplication, division) on two images.
   • Performs logical operations (AND, OR, XOR, NOT) on two images.

6. Image Processing Operations:

   • Image slicing.
   • Blending of images using masks, filters, and blur functions.
   • Cropping.
   • Generating the negative of an image.
   • Drawing on an image.
   • Basic statistics of an image.

7. Edge Detection:

   • Canny Edge Detection.
   • Sobel Edge Detection.
   • Prewitt Edge Detection.
   • Laplacian Edge Detection.

8. Thresholding:

   • Global thresholding.
   • Local (adaptive) thresholding.

9. Histogram Equalization:

   • Histogram equalization without using a function.
   • Histogram equalization using the built-in function.

10. Image Resampling:

    • Downsamples and upsamples an image.

11. Median and Mean Filters:

    • Applies median and mean filters to an image.

12. Batch Processing:

    • Iterates through all image files in a directory, applies rotation and resizing transformations, and displays the results.

How to Use:

• Clone this repository to your local machine.
• Install the required libraries using pip install -r requirements.txt.
• Run the programs individually to see the results of each image processing task.
• Modify the programs as needed for your specific use case.

Feel free to explore, modify, and use these programs for your image processing projects!

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