OPPORTUNITIES OF THE OPENCV LIBRARY IN ENSURING THE COMPANY'S INFORMATION SECURITY
Ключевые слова:
Computer Vision, machine learning, smartphone.Аннотация
. OpenCV is a great tool for image processing and performing computer vision tasks. It is an open-source library that can be used to perform tasks like face detection, objection tracking, landmark detection, and much more. It supports multiple languages including python, java C++. Although, For this article, we will be limiting to python only.
The library is equipped with hundreds of useful functions and algorithms, which are all freely available to us. Some of these functions are really common and are used in almost every computer vision task. Whereas many of the functions are still unexplored and haven’t received much attention yet.
In this article, I will show you some of the most amazing functions of OpenCV that you can use for many amazing applications.
Библиографические ссылки
Computer Vision :A Modern Approach by Forsyth and Ponce
Introduction to Machine Learning using Python by Andreas C. Muller and Sarah Guido.
S. Maity, J. Sil, ―Color Image Segmentation using type-2 fuzzy sets‖ – International Journal of Computer and Electrical Engineering, Vol. 1, No. 3, August 2009 1793- 8163 (2019) pp 376 – 383.
S. Maity, J. Sil, ―Denoising of Images using fuzzy Rule base and Clustering Approach‖- CSIBIG 2020, DOI: 10.1109/CSIBIG.2020.7056994IEEE Explore, pp 1 – 7.
S. Maity, J. Sil, ―CMYK model Color Image Segmentation using Type 2 Fuzzy Sets‖-6th International IEEE Conference on Next Generation Web Services Practices (NWeSP 2020). IEEE Explore pp. 347-352
