基于分数阶微分和形态学多级合成的岩石节理裂隙图像分割

岩石节理裂隙形状复杂且无规则,图像中带有大量噪声,利用传统的图像分割方法很难达到很好的分割效果。提出了一种基于分数阶微分和数学形态学多级合成的边缘检测方法。首先对岩石裂隙图像进行噪声滤除、图像分割、空腔填充、短枝去除等操作,然后使用分数阶微分的方法进行预处理,最后采用改进形态学多级合成方法得到结果。实验结果表明,该方法与传统算子相比,对岩石节理裂隙图像具有较好的边缘检测能力和抗噪性。

改进的Criminisi图像修复算法

针对Criminisi等人提出的基于样本的图像修复算法在确定匹配块大小时存在的一些不足,提出了一种改进的基于样本的图像修复算法。该算法根据样本的纹元大小确定其匹配块大小,使得匹配更为准确,并利用多级合成提高修复效果,弥补了Criminisi算法修复时出现的结构断裂缺陷。实验结果表明,该方法在修复强结构纹理图像时有很好的效果。

基于超大幅宽的高轨SAR加速BP成像方法

在高轨(GEO)合成孔径雷达(SAR)成像中,超大的成像幅宽导致成像区域不满足平面近似,使得基于平面网格的快速BP算法失效。该文提出一种基于地表网格的快速BP算法来精确高效地处理高轨SAR信号。首先针对轨道弯曲和地表弯曲所带来的信号复杂空变问题,采用一种基于实际地表的曲面网格布置方法。针对子孔径BP图像的频谱混叠问题,提出基于曲面网格的两步频谱压缩函数,将子孔径图像在合成之前实现频谱解混叠。同时采用多级子孔径图像合成的方法提高成像效率。最后,通过对比仿真,证明了该文所提算法的精确性以及高效性。

Ceria-modified hierarchical Hβ zeolite as a robust solid acid catalyst for alkenylation of p-xylene with phenylacetylene

A ceria‐modified hierarchical Hβzeolite was prepared by a desilication‐dealumination procedure followed by ceria modification.The catalytic performance of the ceria‐modified and unmodified hierarchical Hβzeolite catalysts for alkenylation of p‐xylene with phenylacetylene was investigated.Various characterization techniques,including X‐ray diffraction,X‐ray fluorescence,nitrogen adsorption‐desorption,and NH3temperature‐programmed desorption,were used to examine the structure‐performance relationships.Our results show that the optimized ceria‐modified hierarchical Hβzeolite catalyst demonstrated higher catalytic activity,selectivity,and stability for alkenylation of p‐xylene with phenylacetylene than those of pristine Hβzeolite.This performance was attributed to more acidic sites and improved accessibility to active sites through larger pores,together with a higher mesoporous surface area and volume resulting from the hierarchical pore architecture and ceria modification.Thus,our5wt%CeO2‐Hβ‐B0.2A0.2catalyst shows great potential for producing alkenyl aromatics through solid acid catalyzed alkenylation.?2018,Dalian Institute of Chemical Physics,Chinese Academy of Sciences.Published by Elsevier B.V.All rights reserved