OpenCV
OpenCV (Open Source Computer Vision Library) is a powerful open-source library for real-time computer vision and image processing tasks. It was initially developed in C++ by Intel but it offers extensive support for Python and various other programming languages. OpenCV provides a vast array of functions and algorithms for tasks such as image manipulation, object detection, feature extraction, and deep learning-based vision applications. Its efficient implementations make it a popular choice for both research and industrial applications in fields like robotics, surveillance, and augmented reality.
OpenCV offers a comprehensive set of tools and functionalities for image processing and computer vision tasks, Some of them are as follows:
- Image I/O using OpenCV: Reading, writing, and manipulating images in various formats.
- Image Filtering: Applying filters for noise reduction, smoothing, sharpening, and edge detection.
- Feature Detection: Detecting key points, corners, and edges in images.
- Feature Description: Extracting descriptors to represent image features.
- Object Detection: Identifying objects within images using pre-trained models or custom algorithms.
- Image Transformation: Resizing, rotating, cropping, and warping images.
- Video Processing: Reading, writing, and processing video streams.
- Camera Calibration: Calibrating cameras and correcting lens distortions.
- Stereo Vision: Estimating depth information from stereo image pairs.
- Machine Learning Integration: Integrating with machine learning frameworks for training and deploying custom models.
- Graphical User Interface (GUI): Creating interactive applications with image display and user interaction capabilities.
Real Life Applications of OpenCV
Some of the important Applications of OpenCV include:
- Basics Image Processing with OpenCV
- Multiple Color Detection in Real-Time
- Real Time Road Lane Detection
- Real-Time Edge Detection using OpenCV
- Text Detection and Extraction using OpenCV and OCR
- Vehicle detection using OpenCV Python
- License Plate Recognition using OpenCV
- Pedestrian Detection in Video Surveillance with OpenCV
- Face detection using Cascade Classifier using OpenCV
- Face Recognition with Local Binary Patterns (LBPs) and OpenCV
- OpenCV for Human Pose Estimation
Python Image Processing Libraries
Python offers powerful libraries such as OpenCV, Pillow, scikit-image, and SimpleITK for image processing. They offer diverse functionalities including filtering, segmentation, and feature extraction, serving as foundational tools for a range of computer vision tasks.