Show simple item record

dc.contributor.author叶聪颖
dc.contributor.author李翠华
dc.date.accessioned2017-11-14T03:20:34Z
dc.date.available2017-11-14T03:20:34Z
dc.date.issued2005-07-30
dc.identifier.citation厦门大学学报(自然科学版),2005,(04):46-50
dc.identifier.issn0438-0479
dc.identifier.otherXDZK200504010
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/157239
dc.description.abstract根据现有关于视觉心理学研究的相关成果和计算模型,提出了一种基于HSI颜色空间特征提取的视觉注意力模型,并应用于海上目标检测.首先把输入的RGB图像转换到HSI空间上,采用高斯金字塔和center-surround算子获得HSI三个分量下各自多尺度的视觉差异,通过对不同特征图的规格化和线性融合获得综合的显著图.该方法应用于多种海上目标图像均取得较好效果,背景中的海浪杂波得到了有效抑制,提取得到的显著区域包括了待检测的目标且范围较小,为后继的处理和分析提供了良好的基础.
dc.description.abstractVisual attention analysis provides a mechanism to find the salient regions within the image.Based on this mechanism,a saliency detection method in HSI color space is proposed and applied to ship detection task.Firstly,an RGB image is transformed into HSI space.Gaussian pyramids are created for three features:hue,saturation and intensity.After calculating center-surround differences between different scales of the pyramid,some feature maps are obtained.Finally,these feature maps are combined into a saliency map.The experimental results indicate that this method is effective in ship detection task.Background noises are suppressed efficiently and the extracted salient regions are good for further processing.
dc.description.sponsorship国家创新研究群体项目(60024301);; 国家自然科学基金(60175008);; 福建省自然科学基金资助
dc.language.isozh_CN
dc.subject视觉注意
dc.subject显著性
dc.subject目标检测
dc.subjectHSI颜色空间
dc.subjectvisual attention
dc.subjectsaliency
dc.subjectobject detection
dc.subjectHSI color space
dc.title基于HSI的视觉注意力模型及其在船只检测中的应用
dc.title.alternativeApplication of HSI Based on Visual Attention Model in Ship Detection
dc.typeArticle


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record