- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Anemia Blood Cell localization Using Modified K- Means Algorithm | ||
| Journal of Al-Qadisiyah for Computer Science and Mathematics | ||
| Article 1, Volume 11, Issue 2, 2019, Pages 9-21 PDF (0 K) | ||
| Authors | ||
| Loay E.George; Huda M.Rada; Mela.G.Abdul-Haleem | ||
| Abstract | ||
| In this project segmentation of image strategy based on K-means clustering calculation is displayed. The proposed strategy utilizes clustering to allocate the dominant colors in medical tissue images for purpose of segmentation with high performance. The initialization step of the system is the selection of suitable color model used for segmentation. A set of inter and intra-class measures are used to evaluate the degree of model suitability. The method is able to make segmentation at different classification resolutions. For purpose of performance evaluation the comes about of the proposed strategy, standard K-Means and as of late altered K-Means are compared. The exploratory comes about appeared that the proposed strategy gives superior result. | ||
| Keywords | ||
| Means clustering algorithm; Modify K; Segmentation; Medical Images | ||
|
Statistics Article View: 135 PDF Download: 57 |
||