Abstract:

Image segmentation, the process of breaking a given image into salient regions, is an important process in many image processing and computer vision problems. However, it cannot get the most salient region, which should be handled further. A saliency detection algorithm is therefore applied to support image segmentation. Saliency detection can be applied to many computer vision problems, such as object detection, image retrieval, and image segmentation. We segment the salient object by the saliency detection algorithm via graphbased manifold ranking algorithm proposed by Yang et al combined with the meanshift segmentation algorithm. Experimental results show that the results are impressive and this algorithm can be applied to forest fire detection, in which the fire part in the image can be segmented effectively.

Key words: saliency detection;image segmentation;manifold ranking;fire detection