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Alternative TitleMetrics of image background clutter by introducing gradient features
肖传民; 史泽林; 刘云鹏
Source Publication光学精密工程
Indexed ByEI ; CSCD
EI Accession number20160801975767
Contribution Rank1
Funding Organization中国科学院国防科技创新重点基金资助项目(No.Y4A4080401)
Keyword背景杂波度量 结构特征 梯度方向直方图 目标获取
Other AbstractTo improve the metric precision of image background clutter for target acquisition performance,a metric method of image background clutter by introducing gradient features is proposed in this paper. The method is based on the visual properties of the human eyes sensitive to edges and regards the regional gradient distribution as a new structural characteristic. Firstly, the gradient direction histogram is used to represent goal structure characteristics and the Pap coefficients are selected for measuring the similarity between the image target and the background clutter gradient direction histogram. Then the structure similarity information is weighted with image structure similarity metrics. Finally, the D.L.Wilson target acquisition performance model is taken as prediction models for predicting the target detection probability,false alarm probability and search time to predict the target acquisition performance of the Search-2 database. The results show that the proposed metric method of image background clutter by introducing gradient feature has improved metric precision of prediction models, the linear correlation coefficients are 0.870, 0.845, 0.897 and root mean square errors are 0.056 9, 0.046 9, 2.129, respectively. These data means that the predicted results and the actual observer have good consistency, and the target acquisition performance is superior to those of other methods.
Citation statistics
Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Corresponding Author肖传民
Recommended Citation
GB/T 7714
肖传民,史泽林,刘云鹏. 引入梯度分布特征的图像背景杂波度量[J]. 光学精密工程,2015,23(12):3472-3479.
APA 肖传民,史泽林,&刘云鹏.(2015).引入梯度分布特征的图像背景杂波度量.光学精密工程,23(12),3472-3479.
MLA 肖传民,et al."引入梯度分布特征的图像背景杂波度量".光学精密工程 23.12(2015):3472-3479.
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