Comparing the main approaches of image segmentation
Other Title(s)
مقارنة بين الطرق الأساسية لتجزئة الصورة
Joint Authors
Samir, Rafal Ali
Karim, Abd al-Amir Abd Allah
Source
Issue
Vol. 58, Issue 4B (31 Dec. 2017), pp.2211-2221, 11 p.
Publisher
University of Baghdad College of Science
Publication Date
2017-12-31
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Images are important medium for conveying information; this makes improvement of image processing techniques also important.
Interpretation of image content is one of the objectives of image processing techniques.
Image interpretation that segments the image to number of objects called image segmentation.
Image segmentation is an important field to deal with the contents of images and get non overlapping regions coherent in texture and color, it is important to deal only with objects with significant information.
This paper presents survey of the most commonly used approaches of image segmentation and the results of those approaches have been compared and according to the measurement of quality presented in this paper the Otsu's threshold method give the best result with less time
American Psychological Association (APA)
Karim, Abd al-Amir Abd Allah& Samir, Rafal Ali. 2017. Comparing the main approaches of image segmentation. Iraqi Journal of Science،Vol. 58, no. 4B, pp.2211-2221.
https://search.emarefa.net/detail/BIM-796570
Modern Language Association (MLA)
Karim, Abd al-Amir Abd Allah& Samir, Rafal Ali. Comparing the main approaches of image segmentation. Iraqi Journal of Science Vol. 58, no. 4B (2017), pp.2211-2221.
https://search.emarefa.net/detail/BIM-796570
American Medical Association (AMA)
Karim, Abd al-Amir Abd Allah& Samir, Rafal Ali. Comparing the main approaches of image segmentation. Iraqi Journal of Science. 2017. Vol. 58, no. 4B, pp.2211-2221.
https://search.emarefa.net/detail/BIM-796570
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 2221
Record ID
BIM-796570