Treffer: Data Finder: Image Processing Using Python.

Title:
Data Finder: Image Processing Using Python.
Authors:
Dhanakoti, V.1 koti555@gmail.com, Chandru, J.1 chandrujothi1094@gmail.com, Senthil, B. Muthu1 bmssen@gmail.com
Source:
Turkish Online Journal of Qualitative Inquiry. 2021, Vol. 12 Issue 5, p4416-4427. 12p.
Database:
Education Research Complete

Weitere Informationen

The growth of technology and its improvement is evaluating year by year. As a part of today technology, especially Digital image processing designed especially for study of theories, models and algorithms especially for the manipulation of various dimension of images (usually by computer). It dives into various categories which is related to image processing such as digitization, histogram manipulation, and compression. By this giant development in the technology which has made a great impact to transform from normal world to the full automated world. This paper also describes about the one of the automations carried out through Humans. According to the reports of "Human IQ" in 2019 it states that the 65% of humans has low IQ. In order to manage the data, Image processing of the particular human body parts visualized with the personal data stored in the particular part. Python is the most usable and popular language in the field of Image processing. The Data Finder is developed with the Python Language for instant and efficient display of its detection. [ABSTRACT FROM AUTHOR]

Copyright of Turkish Online Journal of Qualitative Inquiry is the property of Turkish Online Journal of Qualitative Inquiry and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)