PyQt5-Image-Processing-GUI-HW5

📌 HW5 - PyQt5 Image Processing GUI

This project is a graphical user interface (GUI) application for image processing, developed using PyQt5. It supports the following functions:

• Image loading and display
• Color space conversion (RGB, CMY, HSI, XYZ, Lab, YUV)
• Pseudo color mapping (Jet, Hot, Cool, Spring, etc.)
• k-means clustering in different color spaces

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🖼 Features

📁 Image Loading

• Allows users to open and display an image from the local filesystem.

🎨 Color Space Conversion

• Supports conversion to and visualization of the following color spaces:
  • RGB
  • 
  • CMY
  • 
  • HSI
  • 
  • XYZ
  • 
  • Lab
  • 
  • YUV
  • 

🌈 Pseudo Color Mapping

• Applies OpenCV colormaps to grayscale images for pseudo color visualization:
  • Jet
  • Hot
  • Cool
  • Spring
  • 

📊 k-means Clustering

• Performs k-means clustering on image pixels in selected color spaces:
  • RGB
  • 
  • HSI
  • 
  • Lab
  • 
• Result is displayed as a segmented image based on clustering.

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🛠 How to Run

1. Install dependencies

   pip install opencv-python-headless PyQt5 numpy scikit-learn

2. Run the GUI application

   python hw5_gui.py

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📂 File Structure

│
├── hw5_gui.py              # Main GUI application
├── color_convert.py        # Color space conversion functions
├── colormap.py             # Pseudo color mapping logic
├── kmeans_clustering.py    # k-means clustering logic
└── README.md               # This documentation

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🧑‍💻 Development Environment

• Python 3.8+
• PyQt5
• OpenCV 4.x
• NumPy
• scikit-learn

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