计算机技术与发展2018，Vol.28Issue(3)：1-5,5.DOI:10.3969/j.issn.1673-629X.2018.03.001
基于异源图像特征的显著性融合检测方法
A Saliency Fusion Detection Method Based on Image Features from Different Sensors
摘要
Abstract
Saliency detection based on optical image characteristics is easily affected under the condition of light changes.To detect accu-rately in special scenario of deep space,we study a saliency fusion detection method based on optical image and depth map.For the regis-tered optical image and depth map,the saliency maps of optical image and depth map are calculated respectively and then merged to deter-mine the common salient areas and eliminate the abnormal salient areas in the calculation on single image.A new saliency map is genera-ted and converted into binary image according to the setting threshold to identify significant areas.The significant region information is used to determine target areas on optical image.So far,the target region detection is finished.The experiments show that this method can effectively detect the saliency target areas with high detection accuracy compared with other common methods.关键词
异源图像/特征提取/图像分割/显著性融合/目标检测Key words
multi-sensor images/feature extraction/image segmentation/saliency fusion/target detection分类
信息技术与安全科学引用本文复制引用
李海波,曹云峰,丁萌,庄丽葵..基于异源图像特征的显著性融合检测方法[J].计算机技术与发展,2018,28(3):1-5,5.基金项目
国家自然科学基金(61673211) （61673211）
航天科学基金资助项目 （）
江苏省研究生培养创新工程(KYLX_0282) （KYLX_0282）
