A comparative study of KMCG segmentation based on YCbCr, RGB, and HSV color spaces
Other Title(s)
مقارنة تقسيم الصورة بواسطة خوارزمية ال KMCG بالاعتماد على YCbCr, RGB, و HSV
Joint Authors
Rahmah, Abd al-Munim Salih
Khazal, Fatin Sadiq
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 11, Issue 1 (31 Mar. 2019), pp.53-59, 7 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
7
Main Subjects
Information Technology and Computer Science
Abstract EN
Kekre Median Codebook Generation (KMCG) is a vector quantization algorithm.
It is used for several purposes like image compression and segmentation.
It has been applied by several application and shows its efficiency.
This paper presents a comparison study of applying KMCG with three color models: RGB, YCbCr, and HSV for image segmentation.
The experiments applied on five images, three of them are benchmarks.
Two numerical metrics are utilized: E measure and Peak Signal to Noise Ratio (PSNR), in addition to the visual results.
The final results show that KMCG conducts better segments when it is applied with the RGB color model.
It returns more homogenies segments than using KMCG with YCbCr or HSV.
American Psychological Association (APA)
Khazal, Fatin Sadiq& Rahmah, Abd al-Munim Salih. 2019. A comparative study of KMCG segmentation based on YCbCr, RGB, and HSV color spaces. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 11, no. 1, pp.53-59.
https://search.emarefa.net/detail/BIM-971643
Modern Language Association (MLA)
Khazal, Fatin Sadiq& Rahmah, Abd al-Munim Salih. A comparative study of KMCG segmentation based on YCbCr, RGB, and HSV color spaces. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 11, no. 1 (2019), pp.53-59.
https://search.emarefa.net/detail/BIM-971643
American Medical Association (AMA)
Khazal, Fatin Sadiq& Rahmah, Abd al-Munim Salih. A comparative study of KMCG segmentation based on YCbCr, RGB, and HSV color spaces. al-Qadisiyah Journal for Computer Science and Mathematics. 2019. Vol. 11, no. 1, pp.53-59.
https://search.emarefa.net/detail/BIM-971643
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 58
Record ID
BIM-971643