ОБРАБОТКА ИЗОБРАЖЕНИЙ С ИСПОЛЬЗОВАНИЕМ АЛГОРИТМОВ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В PYTHON

This article delves into the realm of Digital Image Processing using Artificial Intelligence algorithms in Python. Python is a “very high level”, object oriented, modern, and highly efficient language. The study explores a wide array of image processing techniques, including image loading, representation, filtering, histogram analysis, normalization, edge detection, and feature extraction. Leveraging the power of Python and its numerical packages, the article showcases the versatility and efficiency of the language in handling various image processing tasks. By integrating AI algorithms with image processing methodologies, researchers and practitioners can automate tasks, enhance image quality, and extract meaningful features for advanced analysis. The report emphasizes the significance of techniques such as Gaussian blur, median filtering, and bilateral filtering in noise reduction and edge preservation. Furthermore, the exploration of histogram analysis, normalization, and edge detection underscores the importance of these processes in enhancing image quality and facilitating precise image interpretation.