微型机与应用2017，Vol.36Issue(9)：45-48,4.DOI:10.19358/j.issn.1674-7720.2017.09.014
基于多尺度的水下图像显著性区域检测
Underwater image saliency detection based on multi-scale
刘晓阳 1薛纯1
作者信息
- 1. 中国海洋大学 信息科学与工程学院,青岛 山东 266100
- 折叠
摘要
Abstract
Image saliency detection has important value in the research of target recognition, target tracking, visual information mining and so on, and the underwater image research is the basis of marine-related disciplines.According to the characteristics of underwater image, this paper proposes a saliency region detection algorithm to obtain uniform and clear saliency map combined with Retinex image enhancement and multi-scale analysis on superpixels.Superpixel saliency and Bayesian probability estimation are performed on each scale, the final smooth and sharp saliency map is optimized by weighted summation and a guided filter.According to the different multiples of underwater attenuation distance, datasets are established, which verifies the robustness of the algorithm.关键词
图像增强/超像素/贝叶斯估计/显著性Key words
image enhancement/super-pixel/Bayesian estimation/saliency detection分类
计算机与自动化引用本文复制引用
刘晓阳,薛纯..基于多尺度的水下图像显著性区域检测[J].微型机与应用,2017,36(9):45-48,4.
