An effective color image detecting method for colorful and physical images
Joint Authors
Rashid, Taha
Shihab, Suha Naim
Ali, Ali Hasan
Hamid, Sad Husayn Abd
Sabri, Anwar Abd al-Jabbar
Rashid, Muhammad
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 13, Issue 1 (31 Mar. 2021), pp.88-98, 11 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2021-03-31
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, an effective color detection technique is presented.
Color detection techniques are widely used in the image processing area, especially for measuring the amount of a certain color after some modifications on an image to check wither it gets enhanced or not.
We test this technique on images that were carried out in a physical laboratory during some experiments.
Moreover, we will use this technique to calculate the percentage of the red color before and after “red-eye” removal process.
Finally, a comparison of these techniques with some other methods has been achieved.
American Psychological Association (APA)
Ali, Ali Hasan& Rashid, Muhammad& Shihab, Suha Naim& Rashid, Taha& Sabri, Anwar Abd al-Jabbar& Hamid, Sad Husayn Abd. 2021. An effective color image detecting method for colorful and physical images. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 13, no. 1, pp.88-98.
https://search.emarefa.net/detail/BIM-1266381
Modern Language Association (MLA)
Ali, Ali Hasan…[et al.]. An effective color image detecting method for colorful and physical images. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 13, no. 1 (2021), pp.88-98.
https://search.emarefa.net/detail/BIM-1266381
American Medical Association (AMA)
Ali, Ali Hasan& Rashid, Muhammad& Shihab, Suha Naim& Rashid, Taha& Sabri, Anwar Abd al-Jabbar& Hamid, Sad Husayn Abd. An effective color image detecting method for colorful and physical images. al-Qadisiyah Journal for Computer Science and Mathematics. 2021. Vol. 13, no. 1, pp.88-98.
https://search.emarefa.net/detail/BIM-1266381
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 96-98
Record ID
BIM-1266381