A CBIR system based on saliency driven local image features and multi orientation texture features

In Content-based Image Retrieval (CBIR), the user provides the query image in which only a selective portion of the image carries the foremost vital information known as the object region of the image. However, the human visual system also focuses on a particular salient region of an image to instinctively understand its semantic meaning. Therefore, the human visual attention technique can be well imposed in the CBIR scheme. Inspired by these facts, we initially utilized the signature saliency map-based approach to decompose the image into its respective main object region (ObR) and non-object region (NObR). ObR possesses most of the vital image information, so block-level normalized singular value decomposition (SVD) has been used to extract salient features of the ObR. In most natural images, NObR plays a significant role in understanding the actual semantic meaning of the image. Accordingly, multi-directional texture features have been extracted from NObR using Gabor filter on different wavelengths. Since the importance of ObR and NObR features are not equal, a new homogeneity-based similarity matching approach has been devised to enhance retrieval accuracy. Finally, we have demonstrated retrieval performances using both the combined and distinct ObR and NObR features on seven standard coral, texture, object, and heterogeneous datasets. The experimental outcomes show that the proposed CBIR system has a promising retrieval efficiency and outperforms various existing systems substantially.     

结合l1/2范数与显著性约束的背景减除

传统背景减除模型在背景静止和前景对象移动较快时提取到的前景效果较好,但当背景变化或前景对象移动缓慢时容易将动态背景误判为前景或检测出的前景有较多空洞。针对传统背景减除模型在动态背景和前景对象移动缓慢条件下存在前景检测精度下降的问题,提出一种基于l_1/2范数与显著性约束的背景减除模型。将观测数据分为低秩背景、运动前景和动态干扰3类,利用l_1/2范数约束运动前景加强前景稀疏性,有效抑制动态背景对前景提取造成的干扰,提高运动前景在动态背景中的检测精度。引入视频每一帧的显著性约束,通过对每一帧图像进行低秩稀疏分解来检测移动缓慢的目标。实验结果表明,该模型对于复杂场景具有较强的适应能力,可有效去除动态背景对前景的干扰,快速检测出移动缓慢的前景对象,相比于l_1/1/2-RPCA背景减除模型的平均查全率、查准率和调和平均值分别提升了9、14和10个百分点。     

Displacement field denoising for high-temperature digital image correlation using principal component analysis

Principal component analysis (PCA) was extended to minimize the noise effect in digital image correlation (DIC) measurement under a high-temperature atmosphere environment. First, the principle of PCA was introduced, and the singular vectors and singular values for each component of the displacement fields from DIC were obtained. Then, the simulated high-temperature speckle images were developed to investigate the influences of noise on the DIC method under a high-temperature environment. Finally, the displacement fields of several special conditions were extracted from the simulated speckle images and experimental images; the effects of noise on the PCA were also analyzed.     

基于相空间重构与高斯过程的卫星钟差预报

提出了一种基于相空间重构与高斯过程预报卫星钟差的新方法。首先根据星载原子钟的物理特性用多项式进行拟合以提取钟差趋势项,并对拟合后的残差进行经验模态分解,作降噪处理;然后以降噪后的残差时间序列的混沌特性为基础,对其进行相空间重构;最后以重构的相空间为基础,运用高斯过程对残差时间序列进行建模预报,再将预报结果加上趋势项,获得最终的钟差预报值。采用IGS提供的GPS超快速观测钟差建模进行短期预报实验,结果表明,该方法能实时有效地对卫星钟差进行预报,且精度优于超快速预报钟差。     

聚砜酰胺基单聚合物复合材料的热性能及降解动力学

采用热重分析对作为耐高温材料使用的聚砜酰胺基单聚合物复合材料(PSA SPCs)进行热性能研究。通过计算积分程序分解温度(IPDT)和温度指数Ts分别评价材料的热稳定性和长期使用温度,通过计算温度指数Tzg来表征耐热性能。PSA SPCs的IPDT、Ts以及Tzg分别为1305℃,248℃和255℃,而PSA树脂材料相对应的参数值依次是1162℃,243℃和244℃,表明PSA SPCs的热性能优于PSA树脂材料。采用不同升温速率,分别用Flynn-Wall-Ozawa法和Kissenger法研究其热降解动力学,计算得到反应活化能(Ea)分别为152.26 k J/mol,146.85 k J/mol,优于PSA树脂材料的Ea值(133.54 k J/mol,127.88 k J/mol)。     

纳米RDX基PBX混合炸药的热分解特性和感度研究?

采用溶液-水悬浮法,通过控制料液质量比、包覆温度、搅拌速度等工艺参数制备了纳米RDX基PBX。使用TG/DSC同步热分析仪研究其热分解特性,并依据GJB 772A—1997分别对其撞击感度和摩擦感度进行了测试。结果表明:与微米RDX基PBX相比,纳米RDX基PBX的DTG峰温提前约0.6℃,活化能降低约2.5 k J/mol;纳米RDX基PBX撞击感度H_(50)为46.3 cm,微米RDX基PBX H_(50)为29.8 cm,相对降低55.4%;纳米RDX基PBX摩擦感度比微米RDX基PBX相对降低21.1%。     

氨硼烷同分异构体H_2B(NH_3)_2BH_4的制备

本文以NaBH_4为硼源、氨基络合物为氨源制备出了能缩短氨硼烷热分解放氢诱导期的氨硼烷同分异构体H_2B(NH_3)_2BH_4。研究了反应温度、时间和溶剂等因素对H_2B(NH_3)_2BH_4产率的影响。实验结果表明:在温度为25℃,物质的量Cu(NH_3)_6Cl_2∶NaBH_4=1∶2,反应时间为10h的条件下,制得的H_2B(NH_3)_2BH_4产率高达74%。XRD检测到反应产物中有金属Cu,经超景深显微镜观测,其粒径大小约为20μm。     

表达式的覆盖、分解与划分

本文把简单表达式（项和原子）视为语言Ｌ的Ｈｅｒｂｒａｎｄ域或Ｈｅｒｂｒａｎｄ基中的集合．作者提出覆盖表达式的概念,得到２个表达式之间覆盖关系的判别准则．对多个表达式,作者提出表达式的分解概念及相应的分解算法,在此基础上,本文给出卫个表达式覆盖多个表达式的等价条件．根据集合的划分公式,得到划分表达式的方法．最后定义１个变换把合取式转换为简单表达式,从而方便地把简单表达式的结果推广到合取式．本文是作者提出的一种标记逻辑程序的过程语义的理论基础．     

奇异值分解视频水印嵌入与检测及安全性测试

文章针对目前现有的基于小波变换和奇异值分解相结合的数字水印算法存在的缺陷,提出了一种新的视频水印算法:以二值图像为水印的混合整数小波变换和奇异值分解的视频水印盲提取算法,重点论述了奇异值分解的视频水印嵌入与检测以及安全性的测试.实验表明,提出的新算法具有较好的高透明性和鲁棒性.     

一种隔水管涡激振动检测新算法

涡激振动(Vortex induced Vibration,VIV)是导致深水隔水管疲劳的主要诱因,振动位移或位移均方根是隔水管VIV监测的主要参数;针对VIV检测问题,提出了基于自相关矩阵分解的VIV频率和位移检测算法;给出了隔水管VIV检测模型,利用自相关矩阵分解算法检测出信号的频率以及相应的振幅,然后重构隔水管VIV响应位移的时间历程,得出位移或者均方根;仿真结果表明:与现有的Welch位移检测算法相比,基于自相关矩阵分解的VIV检测算法具有精度高,适用性广,实用性强等特点。