计算机与现代化Issue(9)：35-41,7.DOI:10.3969/j.issn.1006-2475.2015.09.008
基于粗糙集理论的水下大坝裂缝图像增强算法
Underwater Dam Crack Image Enhancement Algorithm Based on Rough Set
摘要
Abstract
In view of the complex environmental conditions of underwater image acquisition for the dam cracks, such as the light scattering and attenuation caused by water led to the low signal to noise ratio of image, the extremely uneven of light distribution as well as fracture texture weakening, this paper proposes an adaptive enhancement algorithm, which adopts the discovery and classification rules of rough sets. This algorithm takes the congenital advantage of rough set when mining data for useful informa-tion. On the base of rough set theory,we divide the defect images according to the equivalence relation, which can be used to cal-culate brightness layer by using upper approximation and lower approximation, then enhance the texture of the crack image layer by layer. Further more, in order to feedback the best number of layers we introduce approximate classification accuracy and sys-tem parameters importance. Finally,by calculating their value and analyzing their convergence we can get the best adaptive dam crack enhancement image. The simulation results verify the effectiveness of the algorithm.关键词
图像增强/粗糙集/近似分类精度/自适应Key words
image enhancement/rough set/approximate classification accuracy/adaptive分类
信息技术与安全科学引用本文复制引用
汪耕任,范新南,史朋飞,陈伟..基于粗糙集理论的水下大坝裂缝图像增强算法[J].计算机与现代化,2015,(9):35-41,7.基金项目
国家自然科学基金资助项目(61273170) （61273170）
高等学校博士学科点专项科研基金项目(20120094120023) （20120094120023）
