Entropy in Image Analysis
A special issue of Entropy (ISSN 1099-4300).
Deadline for manuscript submissions: closed (31 March 2019) | Viewed by 139666
Special Issue Editor
Interests: general physics and mathematics; optics; software; image processing applied to microscopy and satellite imagery
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Image analysis is a fundamental task for extracting information from images acquired across a range of different devices. This analysis often needs numerical and analytical methods which are highly sophisticated, in particular for those applications in medicine, security, and remote sensing, where the results of the processing may consist of data of vital importance.
As being involved in numerous applications requiring reliable quantitative results, the image analysis has produced a large number of approaches and algorithms, sometimes limited to specific functions in a small range of tasks, sometimes generic enough to be applied to a wide range of tasks. In this framework, a key role can be played by the entropy, in the form of the Shannon entropy or in the form of a generalized entropy, used directly in the processing methods or in the evaluation of the results, to maximize the success of a final decision support system.
Since the active research in image processing is still engaged in the search of methods that are truly comparable to the abilities of human vision capabilities, I solicit your contribution to this Special Issue of the Journal, devoted to the use of entropy in extracting information from images, and in the decision processes related to the image analyses.
Dr. Amelia Carolina Sparavigna
Guest Editor
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Keywords
- Image entropy
- Shannon entropy
- Tsallis entropy
- Generalized entropies
- Image processing
- Image segmentation
- Retinex methods
- Medical imaging
- Remote sensing
- Security
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Related Special Issue
- Entropy in Image Analysis II in Entropy (23 articles)