🎨 Image Processing Toolbox

An interactive C++/Qt application for advanced image manipulation, filtering, and frequency analysis. Developed for the Computer Vision course (SBME 2027).

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🚀 Features & Task Requirements

1. Spatial Domain Processing

• Noise Generation: Ability to add various noise models to images.
  • Models: Uniform, Gaussian, and Salt & Pepper.
• Linear & Non-Linear Filtering:
  • Low Pass Filters: Average, Gaussian, and Median filters.
  • Parameters: Interactive kernel size selection (3x3, 5x5).
• Edge Detection: Gradient-based operators for structural analysis.
  • Masks: Sobel, Prewitt, and Roberts (Manual Convolution).
  • Advanced: Canny Edge Detector (using OpenCV).
  • Preview: Directional gradient visualization (X and Y directions).

2. Histograms & Intensity Transformations

• Image Statistics: Real-time plotting of Histogram and Distribution (Cumulative) curves for R, G, and B channels independently.
• Contrast Enhancement: * Histogram Equalization: Global mapping using CDF.
  • Normalization: Re-scaling intensity ranges to [0, 255].
• Color Conversion: Dynamic transformation from RGB to Grayscale.

3. Frequency Domain Analysis

• Hybrid Images: Combining the low frequencies of one image with the high frequencies of another to create an optical illusion.
• Frequency Filters: Application of High-pass and Low-pass filters in the frequency domain.

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📸 Results Gallery

🔹 Noise & Filtering

Salt & Pepper Noise	Median Filter (Denoised)

🔹 Edge Detection (Manual vs Canny)

Sobel Operator	Canny Edge Detector

🔹 Histogram Analysis

RGB Histogram & CDF	Gray-scale Transformation

🔹 Frequency Domain

Hybrid Result

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📂 Project Structure

├── Media/Results/      # Processed output samples for the report
├── src/
│   ├── mainwindow.cpp  # Sidebar logic & filtering algorithms
│   ├── frequencytab.cpp# Frequency domain & Hybrid image logic
│   ├── histogramtab.cpp# Histogram plotting & Equalization
│   └── utils.cpp       # Image display & UI helper functions
└── README.md

🛠️ Built With

• Framework: Qt 6
• Library: OpenCV
• Language: C++17