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OALib Journal期刊
ISSN: 2333-9721
费用：99美元
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基于光线变化的显著性区域提取
DOI: 10.13232/j.cnki.jnju.2015.01.018, PP. 125-131
Keywords: 显著性区域,光线特征,流行排序,融合
Abstract:
图像的显著区域提取是指利用人的视觉特点和习惯，获取图像中最易引起注意的区域。该技术被广泛应用于视觉分析的各个领域，是近几年研究的热点。当前显著性区域提取的方法大多基于颜色对比的基础上进行检测，这种方法只是大概检测出显著性区域的范围，不够精细。在对图像进行显著性区域提取的时候，光线也应该占有很重要的地位。为了更好的提取图像的显著性区域，本文提出一个融合光线的特征的模型进行显著性区域的提取。首先对每幅图像进行光线衰竭和增强的变化，生成不同光线特征的图像；然后对每幅不同光线条件下的图像利用流行排序计算显著性区域；最后针对多个显著性区域的结果进行融合计算，得到图像的显著性区域结果。该算法在公开图像数据库进行的试验验证标明，其结果优于同类的算法。？
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