An object segmentation method based on saliency map and spectral clustering

Image segmentation is an important research topic in the field of computer vision. Spectral Clustering (SC) algorithm is one of the most popular used clustering methods for image segmentation. However, the cluster number must be estimated by expertise users to be determined. This limits its application in image segmentation. In this paper, we proposed an image segmentation method based on saliency map and spectral clustering algorithm (SC) that includes the initialization and determination of the number of cluster k. Quantitative and qualitative experimental evaluation on MSRA-1000 public image dataset depicts the promising results from the proposed method by outperforming four state of the art image segmentation methods.