关键词: 显著区域检测, 超像素分割, 直方图阈值化分割

Abstract: The saliency maps achieved by different saliency algorithms are obviously different, so a salient region detection algorithm with good performance which can be applied to different saliency maps is necessary. This paper proposes a novel algorithm based upon the superpixel segmentation and histogram threshold to enhance the algorithm efficiency. The proposed algorithm uses superpixel algorithm for segmenting image, computes each pixel’s average saliency of each segmented region according to the saliency map, then utilizes the histogram technique to obtain the binary map which indicates the salient object, and obtains the salient region using a minimum rectangular window which covers the salient object. Experimental results show that compared to the current schemes the presented approach can detect the salient region in a better way and has a good performance of precision, recall, F-measure and computational efficiency.

Key words: salient region detection, superpixel segmentation, histogram thresholding segmentation