计算机工程与应用2019，Vol.55Issue(3)：159-166,237,9.DOI:10.3778/j.issn.1002-8331.1807-0120
基于SLIC融合纹理和直方图的图像显著性检测
Image Saliency Detection Based on SLIC Fusion Texture and Histogram
摘要
Abstract
For the problem that the salient map based on color histogram can’t highlight the edge contour and texture details, a method of image saliency detection based on SLIC fusion of texture and histogram is proposed in this paper, which combines color feature, spatial location feature, texture feature and histogram. Firstly, the SLIC algorithm is used to segment the image and the saliency map based on color and spatial location is extracted. Then, saliency map based on color histogram and saliency map based on texture feature are extracted respectively. Finally, the saliency maps obtained from the first two stages are fused to get the final saliency map. In addition, the saliency target in the image is obtained by a simple threshold segmentation method. The experimental results show that compared with the classical saliency detection algorithms, the performance of the algorithm is much better than that of other algorithms.关键词
SLIC算法/颜色特征/空间位置特征/纹理特征/直方图/显著性检测Key words
SLIC algorithm/color feature/spatial location feature/texture feature/histogram/saliency detection分类
信息技术与安全科学引用本文复制引用
丁华,王晓东,章联军,陈晓爱,赖佩霞..基于SLIC融合纹理和直方图的图像显著性检测[J].计算机工程与应用,2019,55(3):159-166,237,9.基金项目
四川省科技支撑项目(No.2016GZ0026). （No.2016GZ0026）
