A novel edge detection method using K-means clustering
Other Title(s)
طريقة جديدة للكشف عن الحافات باستخدام تجميع k-means
Joint Authors
Khalaf, Wala Muhammad Hasan
al-Majdi, Kazim
Hamid, Nur Hashim
Source
Journal of Engineering and Sustainable Development
Issue
Vol. 20, Issue 6 (30 Nov. 2016), pp.207-215, 9 p.
Publisher
al-Mustansyriah University College of Engineering
Publication Date
2016-11-30
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
t: In this paper, a new approach is introduced to detect the edges of any kind of gray scale images by using k-means clustering algorithm, where three novel features are proposed by taking the advantages of the similarity of image pixel with its eight surrounding neighbors through feeding these features as attributes to the clustering system.
This method of edge detection does not use neither any smoothing filter nor threshold values.
The experimental results show that an acceptable detection of the edges is done.
American Psychological Association (APA)
Khalaf, Wala Muhammad Hasan& al-Majdi, Kazim& Hamid, Nur Hashim. 2016. A novel edge detection method using K-means clustering. Journal of Engineering and Sustainable Development،Vol. 20, no. 6, pp.207-215.
https://search.emarefa.net/detail/BIM-848613
Modern Language Association (MLA)
Khalaf, Wala Muhammad Hasan…[et al.]. A novel edge detection method using K-means clustering. Journal of Engineering and Sustainable Development Vol. 20, no. 6 (Nov. 2016), pp.207-215.
https://search.emarefa.net/detail/BIM-848613
American Medical Association (AMA)
Khalaf, Wala Muhammad Hasan& al-Majdi, Kazim& Hamid, Nur Hashim. A novel edge detection method using K-means clustering. Journal of Engineering and Sustainable Development. 2016. Vol. 20, no. 6, pp.207-215.
https://search.emarefa.net/detail/BIM-848613
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-848613