Saliency detection plays an important role in image segmentation, object detection and retrieval, which attracts more attention in the field of computer vision recently. Most existing saliency detection algorithms have not considered the influence of visual focus shifting yet. In this paper, a novel algorithm named moving region contrast (MRC) is proposed to analyze image saliency. The algorithm MRC is built on a novel concept of moving visual focus (MVF). The initial visual focus is defined as the geometric center of the image. Then the visual focus is calculated iteratively by focus-moving technique where a saliency gravitation model is employed to determine the moving direction. The salient region is obtained according to the final visual focus. The experiments are conducted on the dataset with 1000 images released by Achanta. Experimental results show that the proposed algorithm achieves marked improvements in performance and outperforms other 11 popular algorithms.

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Image segmentation can help us with a better understanding of the image content, and thus plays an important role in many fields of image processing including image retrieval, object recog nition and image compression. We propose a novel method based on an efficient Graph-Based segmentation after analyzing its ir rationalities. The proposed method with bag-of-pixels is sim ple and effective. In the evaluation using a large public image database that contains a lot of natural images, our method out performs the efficient graph-based segmentation method, yields better segmentation results and shortens the running time.