Color Image Segmentation Using Adaptive GrowCut Method

An adaptive algorithm for interactive multi-label segmentation of 2-dimensional color images using GrowCut has been carry out in this technique. Except certain small number of user-labelled pixels, the remainder of the image is segmented automatically by a layered automaton. This technique is iterative, since the mechanism labels the image automatically. The segmentation task is complex to compute. User can monitor the progress of segmentation and redirect the algorithm with respect to human participation. The proposed system contains two phases. During the first level the original input color image is segmented using the GrowCut method. In the following phase the resulting image is processed under color image segmentation method. In the areas, where the segmentation is dependably computed automatically no further user effort is necessary. Outcomes of segmenting standard photos and images are presented. Our experiments show that a little user effort is required for segmentation of moderately tough images.