Image Analysis in C++
A C++ implementation of fundamental image processing and analysis algorithms.
The project focuses on low-level image representation, convolution-based filtering, and classical computer vision techniques.
Overview
This project implements core image processing operations from first principles in C++, with emphasis on:
- Pixel-level image manipulation
- Convolution and filtering operations
- Gradient-based edge detection
- Modular and extensible pipeline design
The goal is to develop a clear understanding of how classical computer vision methods operate at the implementation level.
Features
- Image loading and preprocessing pipeline
- Linear and non-linear filtering (Gaussian, Median)
- Edge detection via gradient operators (Sobel / similar)
- Basic feature extraction methods
- Structured pipeline for sequential image transformations
Technical Stack
- C++17
- Standard Template Library (STL)
- Optional: OpenCV (if applicable)
- CMake (if applicable)
Example Results
Input image → Processed output → Edge detection pipeline
