激光与光电子学进展, 2019, 56 (12): 121006, 网络出版: 2019-06-13
基于背景连续性先验知识的显著性检测 下载: 888次
Saliency Detection Based on Background Continuity Priori Knowledge
图像处理 显著性检测 超像素 最短路径 边界先验知识 image processing saliency detection super-pixels shortest path boundary priori knowledge
摘要
基于背景连续性先验知识,提出了一种新的显著性检测方法。该方法首先对图像进行超像素分割,寻找任意一组超像素间的最短长度路径,并根据路径中的超像素与路径首尾两端的超像素的色彩差异计算出超像素的前景权重。经过基于色彩差异的前景权重修正和基于边界先验知识的显著性优化,得到最终的显著性检测结果。所提方法在多个图像数据集上进行了检测效果测试,均取得了优异的表现。
Abstract
Based on the background continuity priori knowledge, we propose a new saliency-detection method. In this method, an image is first abstracted as a set of super-pixels. We then search the shortest path and calculate the foreground weight of each super-pixel in the path according to its color difference with those at two ends of the path. We also integrate the color-difference-based foreground weight correction with the boundary priori knowledge based saliency optimization to obtain the final saliency detection results. The proposed method is extensively evaluated on several public datasets and the experimental results confirm its state-of-the-art performance.
金一康, 于凤芹. 基于背景连续性先验知识的显著性检测[J]. 激光与光电子学进展, 2019, 56(12): 121006. Yikang Jin, Fengqin Yu. Saliency Detection Based on Background Continuity Priori Knowledge[J]. Laser & Optoelectronics Progress, 2019, 56(12): 121006.