南京大学学报(自然科学版) ›› 2015, Vol. 51 ›› Issue (1): 125131.
任永峰1,2*, 周静波1, 王志坚2
Ren Yongfeng1,2*, Zhou Jingbo 2, Wang Zhijian 1
摘要: 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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