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List of Experiments

  1. Simulation and display of an Image, Negative of an Image (Binary & Gray Scale)
  2. Implementation of the Transformation of an Image.
  3. Implementation of Histogram, and Histogram Equalization.
  4. Implement the different filtering techniques for noise removal based on spatial and frequency domains using OpenCV.
  5. Implementation of various image segmentation techniques. (Edge-Based, Region-Based and Threshold-Based)
  6. Implementation of different Morphological Image Processing Techniques

Requirements

Make sure you have the following installed before running the code:

  • Python (3.x recommended)
  • OpenCV (cv2 module)

Installation

To install OpenCV, run the following command:

pip install opencv-python