MATHEMATICALMODEL OF THE PROCESS OF COMBINING IMAGES OFOBSERVEDOBJECTS

Image fusion is a key step in data processing in areas such as computer vision, robotics, medicine, and remote sensing. With the development of surveillance and image processing technologies, there is a need to create effective methods that allow accurate integration of data obtained from different sources. This is especially important for obtaining complete and reliable information about the observed object [1].

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-26
DOI
https://doi.org/10.5281/zenodo.14219929
Primary Topic
Cancer, Stress, Anesthesia, and Immune Response
Type
article
Field-Weighted Citation Impact
0.00
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article

MATHEMATICALMODEL OF THE PROCESS OF COMBINING IMAGES OFOBSERVEDOBJECTS

Zenodo (CERN European Organization for Nuclear Research)
Cancer, Stress, Anesthesia, and Immune Response
article

MATHEMATICALMODEL OF THE PROCESS OF COMBINING IMAGES OFOBSERVEDOBJECTS

article en

Abstract

Image fusion is a key step in data processing in areas such as computer vision, robotics, medicine, and remote sensing. With the development of surveillance and image processing technologies, there is a need to create effective methods that allow accurate integration of data obtained from different sources. This is especially important for obtaining complete and reliable information about the observed object [1].

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 53%
Cancer, Stress, Anesthesia, and Immune Response
DOIOpen Access PDFOpenAlex
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MATHEMATICALMODEL OF THE PROCESS OF COMBINING IMAGES OFOBSERVEDOBJECTS · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS