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Assist. Dena Mohamed Abdelsadek :: Publications: |
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| Title: | Impact of Using Different Color Spaces on the Image Segmentation |
| Authors: | Dena A. Abdelsadek; Maryam N. Al-Berry; Hala M. Ebied; Mosab Hassaan |
| Year: | 2022 |
| Keywords: | Image Segmentation; Color Spaces; RGB; YCbCr; XYZ; HSV; K-means; Fuzzy C-means; Region Growing; Graph Cut; Image Processing |
| Journal: | Advances in Machine Learning and Trends in Applications (AMLTA 2022) |
| Volume: | 113 |
| Issue: | Not Available |
| Pages: | 456-471 |
| Publisher: | Springer Nature Switzerland AG |
| Local/International: | International |
| Paper Link: | |
| Full paper | Dena Mohamed Abdelsadek_Impact of using Different color Spaces on the Image Segmentation..pdf |
| Supplementary materials | Not Available |
| Abstract: |
This paper compares the performance of RGB, YCbCr, XYZ, and HSV color spaces in image segmentation. Four segmentation techniques, namely K-means, Fuzzy C-means, Region Growing, and Graph Cut, are evaluated using color images from the Berkeley database. The results indicate that combining color components can improve segmentation accuracy. |
