Multi-Embed Nonlinear Scale-Space for Image Trust Root Generation  

作　　者：Lizhao Liu Wentu Gao Jian Liu Huayi Yin Huarong Xu Shunzhi Zhu 

机构地区：[1]Department of Computer Science and Technology,Xiamen University of Technology [2]Department of Management,Nanjing University of Science and Technology

出　　处：《China Communications》2016年第11期170-179,共10页中国通信（英文版）

基　　金：The national natural science foundation (61672442,61503316,61273290,61373147);Xiamen Scientific Plan Project (2014S0048,3502Z20123037);Fujian Scientific Plan Project (2013HZ00041);Fujian provincial education office A-class project(JA13238)

摘　　要：An image trust root is a special type of soft trust root for trusted computing. However,image trust root generation is difficult,as it needs a corresponding stable logic feature generation model and algorithm for dynamical and sustained authentication. This paper proposes a basic function of constructing new scale-spaces with deep detecting ability and high stability for image features aimed at image root generation. According to the heat distribution and spreading principle of various kinds of infinitesimal heat sources in the space medium,a multi-embed nonlinear diffusion equation that corresponds to the multi-embed nonlinear scale-space is proposed,a HARRIS-HESSIAN scale-space evaluation operator that aims at the structure acceleration characteristics of a local region and can make use of image pixels' relative spreading movement principle was constructed,then a single-parameter global symmetric proportion(SPGSP) operator was also constructed. An authentication test with 3000 to 5000 cloud entities shows the new scale-space can work well and is stable,when the whole cloud has 5%-50% behavior with un-trusted entities. Consequently,it can be used as the corresponding stable logic feature generation model and algorithm for all kinds of images,and logic relationships among image features for trust roots.An image trust root is a special type of soft trust root for trusted computing. However,image trust root generation is difficult,as it needs a corresponding stable logic feature generation model and algorithm for dynamical and sustained authentication. This paper proposes a basic function of constructing new scale-spaces with deep detecting ability and high stability for image features aimed at image root generation. According to the heat distribution and spreading principle of various kinds of infinitesimal heat sources in the space medium,a multi-embed nonlinear diffusion equation that corresponds to the multi-embed nonlinear scale-space is proposed,a HARRIS-HESSIAN scale-space evaluation operator that aims at the structure acceleration characteristics of a local region and can make use of image pixels＇ relative spreading movement principle was constructed,then a single-parameter global symmetric proportion（SPGSP） operator was also constructed. An authentication test with 3000 to 5000 cloud entities shows the new scale-space can work well and is stable,when the whole cloud has 5%-50% behavior with un-trusted entities. Consequently,it can be used as the corresponding stable logic feature generation model and algorithm for all kinds of images,and logic relationships among image features for trust roots.

关 键 词：image trust root SCALE-SPACE diffusion equation evolution operator feature detection 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] O175.29[自动化与计算机技术—计算机科学与技术]