Improved Image Recognition for AI Based Various Scientific Applications

Authors

Supriyo Karmakar, Farmingdale State College-SUNY
Sayantani Karmakar, Portland State University

Sponsor

IEEE

Published In

2023 IEEE World AI Iot Congress

Document Type

Citation

Publication Date

6-7-2023

Abstract

Image processing has a lot of applications in our natural world. Processing an image has applications in various fields like artificial intelligence (AI), Machine learning, Remote sensing, Image recovery and others. Various applications extract various information from images to successfully perform its operation and reach the solution. Overall, the quality of an image can be improved by increasing the signal-to-noise (SNR) of the image. This work shows the application of Savitzky-Golay (SG) Filter on a two-dimensional image increases the signal-to-noise (SNR) which is helpful to extract the required information for the next stage. This work also shows the applications of processed images in the AI based various scientific applications.

Rights

©2023 IEEE

Locate the Document

https://doi.org/10.1109/AIIoT58121.2023.10174451

DOI

10.1109/AIIoT58121.2023.10174451

Persistent Identifier

https://archives.pdx.edu/ds/psu/40680

Publisher

IEEE

Citation Details

Karmakar, S., & Karmakar, S. (2023, June). Improved Image Recognition for AI Based Various Scientific Applications. In 2023 IEEE World AI IoT Congress (AIIoT) (pp. 0024-0028). IEEE.