ADVANCEMENTS IN IMAGE PROCESSING FOR AI: TECHNIQUES AND APPLICATIONS
Main Article Content
Abstract
With?a focus on its role in the advancement of human-machine interfaces through image processing, this research investigates the transformative capabilities of AI. With the increasing integration of AI into our everyday lives, the?capacity to analyze and interpret visual data has grown increasingly important across multiple fields, ranging from medical diagnostics to entertainment. This paper performs a systematic literature review that presents the literature on the progress in image processing, specifically with the recognition of?images via CNN and deep learning algorithms. Using both theoretical and empirical methods, the research examines a variety of AI applications, including facial recognition,?medical imaging, and autonomous systems. The results emphasize the immense promise of image processing technologies in enabling more natural and rational interactions between people?and AI systems. In the final thoughts of the study, the authors provide breeding recommendations focusing on exceptionally promising aspects for future research, booming methods in use?and offering forward trajectories in this fast-developing field.
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.