Manuscript Number : CSEIT206542

Image Processing in Artificial Intelligence

Authors(3) :-Shahzeb Hussain, Prayas Dixit, Md. Shaayan Hussain

Machines can learn to elucidate images the same way our brains do and analyse those images much more thoroughly than we can. When applied to Image Processing, Artificial Intelligence (AI) can propel face recognition and security functionality in public places, detecting and recognizing intruders, objects, and patterns in live images and videos, etc. Image processing technology focuses on the development of data extraction methods applied to the statistical classification of visual imagery. In classical image processing systems, an image is pre-processed to remove noise (denoising), segmented to produce close object boundaries, analysed to extract a representative feature, and compared to the ideal object feature vectors by a classifier to decide the nearest object classification and its associated level. In this paper, we discuss about digital image processing and the role of AI in it.

Authors and Affiliations

Shahzeb Hussain
Infosys Limited, Pune, Maharashtra, India
Prayas Dixit
Infosys Limited, Pune, Maharashtra, India
Md. Shaayan Hussain
Tata Consultancy Services, Chennai, Tamilnadu, India

Image Processing, Artificial Intelligence, Digital Image, Data Extraction

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Publication Details

Published in : Volume 6 | Issue 5 | September-October 2020
Date of Publication : 2020-10-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 244-249
Manuscript Number : CSEIT206542
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Shahzeb Hussain, Prayas Dixit, Md. Shaayan Hussain, "Image Processing in Artificial Intelligence", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 5, pp.244-249, September-October-2020. Available at doi : https://doi.org/10.32628/CSEIT206542
Journal URL : https://res.ijsrcseit.com/CSEIT206542 Citation Detection and Elimination     |      |          | BibTeX | RIS | CSV

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