摘要
为了对自然场景中各类显著目标进行准确的检测,提出了一种结合图像边缘和多尺度对比度信息的检测方法。首先对图像进行快速双边滤波,在对图像平滑去除复杂纹理的同时保留物体结构边缘信息,然后用直线检测算子进行边缘检测得到边缘显著图。再利用对比度检测算子计算图像的区域对比度和全局对比度得到对比度显著图。融合边缘显著图和对比度显著图得到最后的显著目标图。实验表明该方法准确率高于大多数现有的显著目标检测方法。
In order to detect all kinds of salient object in natural scene,a method is presented which combined image edges and contrast information.First,fast bilateral filter is used to smooth image and then image edges are detected with line detection template.At the same time,the local and global contrast value are calculated on smoothed image.Finally,the edge saliency image and contrast saliency image are combined into final saliency map.The quantitative evaluation is provided which shows the proposed method outperforms many other state-of-art methods.
出处
《科学技术与工程》
北大核心
2013年第34期10193-10197,共5页
Science Technology and Engineering
关键词
显著目标
检测
边缘
对比度
saliency object
detection
edge feature
contrast
