A Comparative Study of Different Color Space Models Using FCM-Based Automatic GrabCut for Image Segmentation
作者： Dina Khattab , Hala Mousher Ebied , Ashraf Saad Hussein , Mohamed Fahmy Tolba , None
DOI: 10.1007/978-3-319-21404-7_36
关键词: GrabCut 、 Computer science 、 Image segmentation 、 Cluster analysis 、 Computer vision 、 RGB color model 、 Artificial intelligence 、 Segmentation 、 Scale-space segmentation 、 HSL and HSV 、 Color space
摘要: GrabCut is one of the powerful color image segmentation techniques. One main disadvantage need for initial user interaction to initialize process which classifies it as a semi-automatic technique. The paper presents use Fuzzy C-means clustering replacement automation. Several researchers concluded that no single space model can produce best results every problem. This comparative study different models using automatic problem segmentation. includes test five models; RGB, HSV, XYZ, YUV and CMY. A dataset 30 images are used evaluation. Experimental show generating accuracy images.
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