西安电子科技大学学报（自然科学版）Issue(6)：195-198,4.DOI:10.3969/j.issn.1001-2400.2014.06.032
改进的偏微分扩散方程图像增强方法
Image enhancement using the improved partial differential equation
摘要
Abstract
Excellent preprocessing is necessary for the crack extraction from pavement images.This paper adopts the Partial Differential Equation method to do that,and then improves the P-M diffusion coefficient and fuses it with coherence enhancing diffusion,thus forming the new PDE model.The new PDE model makes the improved P-M diffusion dominates the region without crack edges and coherence enhancing diffusion close to the crack edges,thereby realizing the crack image denoising and enhancing in a more effective way. Theoretical analysis and simulation results consistently show that the proposed model outperforms the classical P-M model in terms of pavement image denoising and enhancing.Furthermore, after the pavement images are preprocessed by the proposed PDE model, cracks are detected more accurately,demonstrating the superiority of the proposed preprocessing method.关键词
图像增强/偏微分方程/P-M模型/相干增强扩散/路面图像Key words
image enhancement/partial differential equation/P-M model/coherence enhancing diffusion/pavement images分类
信息技术与安全科学引用本文复制引用
崔华,周婷洁,郭璐,袁超,宋焕生..改进的偏微分扩散方程图像增强方法[J].西安电子科技大学学报（自然科学版）,2014,(6):195-198,4.基金项目
国家863计划资助项目(2012AA112312) （2012AA112312）
