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Application of Information Theory to Computer Vision and Image Processing.
- Source :
- Entropy; Feb2024, Vol. 26 Issue 2, p114, 9p
- Publication Year :
- 2024
-
Abstract
- The document titled "Application of Information Theory to Computer Vision and Image Processing" provides an overview of human vision and its application to machine vision systems. It explains the process of human vision, from light entering the eyes to electrical signals being transmitted to the brain. The document also discusses the role of machine vision in cybernetic systems and its applications in various fields. It includes summaries of several articles related to information theory, measurement methods, and data processing tools for machine vision systems, covering topics such as signal processing, image enhancement, and text cluster identification. Additionally, the document provides a summary of contributions to a special issue on the application of information theory to computer vision and image processing, covering various topics and presenting unique approaches to address specific challenges in their respective fields. The authors hope that readers will find inspiration for their own research and publications by exploring the articles in this special issue. [Extracted from the article]
Details
- Language :
- English
- ISSN :
- 10994300
- Volume :
- 26
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Entropy
- Publication Type :
- Academic Journal
- Accession number :
- 175648215
- Full Text :
- https://doi.org/10.3390/e26020114