Machine learning implementation in computer vision

Authors

Dina Darwish
Faculty of computer science and information technology, Ahram Canadian university, Egypt

Synopsis

AI has had a significant impact on image processing, which has enabled the development of innovative techniques and applications Computer vision examines data from digital photos and videos to deduce relationships. It employs artificial intelligence and machine learning technologies to enhance output. Similar to other machine learning systems, computer vision systems require substantial data to train their algorithms for input comprehension. A multitude of businesses, such as entertainment, security, robotics, and healthcare, utilise computer vision. Machine learning algorithms are fundamentally trained on extensive datasets of labelled images to identify patterns and generate predictions. Similar to other machine learning systems, computer vision systems require substantial data to train their algorithms for input comprehension. This chapter discusses implementation of machine learning to image analysis, and Recent Applications of Artificial Intelligence in Image Processing, Repercussions of ML and AI in image processing on Society and Ethics and finally comes the conclusion.

Keywords: Machine Learning, Methods, Computer Vision,  Image Analysis,  Recent Applications.

Published

January 31, 2025

Categories

How to Cite

Darwish, D. . (2025). Machine learning implementation in computer vision. In D. . Darwish (Ed.), Computer Vision Techniques and Recent Trends (pp. 32-44). Deep Science Publishing. https://doi.org/10.70593/978-81-983916-5-0_3