Images analysis by using fuzzy clustering
Other Title(s)
تحليل الصور باستخدام النقدة المضببة
Author
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 11, Issue 1 (31 Mar. 2019), pp.33-40, 8 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2019-03-31
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
The Fuzzy C-Mean algorithm is one of the most famous fuzzy clustering techniques.
The process of fuzzy clustering is a useful method in analyzing many patterns and images.
The Fuzzy C-Mean algorithm is widely used and based on the objective function reduction through adding membership values and the fuzzy coefficient.
The Mean Absolute Error (MAE) was also measured in this research for each execution.
The research found that when the number of clusters increases, the mean absolute error value is reduced.
When the number of clusters increased.
The more details in the resulting image were not present in the original image.
This helps in the analysis of the images.
In this research, medical images were treated and analyzed.
The analysis helps physicians explain the patient's health status and also according to suggested algorithm helps them to diagnose the possibility of a particular disease or tumor.
A Matlab program was created to perform the analysis.
American Psychological Association (APA)
Kharufah, Shahlah Hazim Ahmad. 2019. Images analysis by using fuzzy clustering. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 11, no. 1, pp.33-40.
https://search.emarefa.net/detail/BIM-971640
Modern Language Association (MLA)
Kharufah, Shahlah Hazim Ahmad. Images analysis by using fuzzy clustering. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 11, no. 1 (2019), pp.33-40.
https://search.emarefa.net/detail/BIM-971640
American Medical Association (AMA)
Kharufah, Shahlah Hazim Ahmad. Images analysis by using fuzzy clustering. al-Qadisiyah Journal for Computer Science and Mathematics. 2019. Vol. 11, no. 1, pp.33-40.
https://search.emarefa.net/detail/BIM-971640
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 39
Record ID
BIM-971640