OpenCV
“Computer vision allows us to do things that were unimaginable just a few years ago, such as recognizing a friend’s face in a photo, diagnosing a disease from a medical scan, or driving a car autonomously.”
Fei-Fei Li, a prominent researcher in the field of computer vision and machine learning
What is OpenCV?
OpenCV, or Open Source Computer Vision Library, is an open source library specializing in image processing and computer vision. It is designed to provide a wide range of features for image manipulation, object detection, pattern recognition and more.
The importance of working with OpenCV 4
- Broad range of features
- Support for numerous programming languages
- Active Community
- Hardware optimizations
- Updates and bug fixes
- Advanced Development Tools
The great success of this library has made it possible to attract the interest of thousands of experts in the sector, many of whom are making many contributions to improve the code and performance of this library.
The OpenCV library can support different languages including C ++, Java and Python with also interfaces to be able to use it on platforms like Matlab. In our site we will use the OpenCV library exclusively with Python.
Published Articles
Edge Detection and Image Gradient Analysis
Introduction to Edge Detection
The Otsu’s Binarization for thresholding
Thresholding on an image
A method of detecting the vertices of an image
A method of detecting the edges of an image
A method for manipulate the shape of objects in an image
A method for generating different resolution versions of an image
A method for the Image Segmentation
OpenCV on Raspberry
Upcoming articles (in progress)
Changing the colors of spaces in an image
Geometric transformations
Edges
The histograms
Template Matching
Hough’s transformation
The Grabcut algorithm