Color Image Segmentation Based on Different Color Space Models Using Automatic GrabCut
This paper presents a comparative study using different color spaces to evaluate the performance of color image segmentation using the automatic GrabCut technique. GrabCut is considered as one of the semiautomatic image segmentation techniques, since it requires user interaction for the initializati...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/126025 |
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| author | Dina Khattab Hala Mousher Ebied Ashraf Saad Hussein Mohamed Fahmy Tolba |
| author_facet | Dina Khattab Hala Mousher Ebied Ashraf Saad Hussein Mohamed Fahmy Tolba |
| author_sort | Dina Khattab |
| collection | DOAJ |
| description | This paper presents a comparative study using different color spaces to evaluate the performance of color image segmentation using the automatic GrabCut technique. GrabCut is considered as one of the semiautomatic image segmentation techniques, since it requires user interaction for the initialization of the segmentation process. The automation of the GrabCut technique is proposed as a modification of the original semiautomatic one in order to eliminate the user interaction. The automatic GrabCut utilizes the unsupervised Orchard and Bouman clustering technique for the initialization phase. Comparisons with the original GrabCut show the efficiency of the proposed automatic technique in terms of segmentation, quality, and accuracy. As no explicit color space is recommended for every segmentation problem, automatic GrabCut is applied with RGB, HSV, CMY, XYZ, and YUV color spaces. The comparative study and experimental results using different color images show that RGB color space is the best color space representation for the set of the images used. |
| format | Article |
| id | doaj-art-13eaad8568404a3392967f0c5c825dfc |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-13eaad8568404a3392967f0c5c825dfc2025-02-03T06:01:41ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/126025126025Color Image Segmentation Based on Different Color Space Models Using Automatic GrabCutDina Khattab0Hala Mousher Ebied1Ashraf Saad Hussein2Mohamed Fahmy Tolba3Faculty of Computer and Information Sciences, Ain Shams University, Cairo 11566, EgyptFaculty of Computer and Information Sciences, Ain Shams University, Cairo 11566, EgyptFaculty of Computer Studies, Arab Open University-Headquarters, 13033 Al-Safat, KuwaitFaculty of Computer and Information Sciences, Ain Shams University, Cairo 11566, EgyptThis paper presents a comparative study using different color spaces to evaluate the performance of color image segmentation using the automatic GrabCut technique. GrabCut is considered as one of the semiautomatic image segmentation techniques, since it requires user interaction for the initialization of the segmentation process. The automation of the GrabCut technique is proposed as a modification of the original semiautomatic one in order to eliminate the user interaction. The automatic GrabCut utilizes the unsupervised Orchard and Bouman clustering technique for the initialization phase. Comparisons with the original GrabCut show the efficiency of the proposed automatic technique in terms of segmentation, quality, and accuracy. As no explicit color space is recommended for every segmentation problem, automatic GrabCut is applied with RGB, HSV, CMY, XYZ, and YUV color spaces. The comparative study and experimental results using different color images show that RGB color space is the best color space representation for the set of the images used.http://dx.doi.org/10.1155/2014/126025 |
| spellingShingle | Dina Khattab Hala Mousher Ebied Ashraf Saad Hussein Mohamed Fahmy Tolba Color Image Segmentation Based on Different Color Space Models Using Automatic GrabCut The Scientific World Journal |
| title | Color Image Segmentation Based on Different Color Space Models Using Automatic GrabCut |
| title_full | Color Image Segmentation Based on Different Color Space Models Using Automatic GrabCut |
| title_fullStr | Color Image Segmentation Based on Different Color Space Models Using Automatic GrabCut |
| title_full_unstemmed | Color Image Segmentation Based on Different Color Space Models Using Automatic GrabCut |
| title_short | Color Image Segmentation Based on Different Color Space Models Using Automatic GrabCut |
| title_sort | color image segmentation based on different color space models using automatic grabcut |
| url | http://dx.doi.org/10.1155/2014/126025 |
| work_keys_str_mv | AT dinakhattab colorimagesegmentationbasedondifferentcolorspacemodelsusingautomaticgrabcut AT halamousherebied colorimagesegmentationbasedondifferentcolorspacemodelsusingautomaticgrabcut AT ashrafsaadhussein colorimagesegmentationbasedondifferentcolorspacemodelsusingautomaticgrabcut AT mohamedfahmytolba colorimagesegmentationbasedondifferentcolorspacemodelsusingautomaticgrabcut |