摘要
在现实生活和工业生产中,受环境与设备等因素影响,图像易出现模糊和对比度较低的问题。为此,文章提出基于偏微分方程的模糊图像多阈值分块增强方法:利用偏微分方程中的热传导方程建立模糊图像降噪模型;结合P-M模型构建改进的模糊图像降噪模型;采用空间时间有限差分法求解改进的模糊图像降噪模型;运用直方图均衡化设计多阈值分块增强方法达成模糊图像多阈值分块增强。实验结果表明,本文增强方法具有较好的模糊图像多阈值分块增强效果和质量,能够有效地缩短模糊图像多阈值分块增强时间。
In real life and industrial production,image blurring and low contrast are common issues due to environmental and equipment factors.To address this,a multi-threshold block enhancement method based on partial differential equations is proposed.The fuzzy image denoising model is established using the heat conduction equation in partial differential equations,and the P-M model is incorporated to improve the fuzzy image denoising model.The improved fuzzy image denoising model is solved using spatial and temporal finite difference methods.Based on this,a multi-threshold block enhancement method is designed using histogram equalization to achieve fuzzy image multi-threshold block enhancement.Experimental results demonstrate that the proposed method has good performance and quality in terms of fuzzy image multi-threshold block enhancement,and it effectively reduces the time required for enhancement.
作者
杨波
丁黎明
YANG Bo;DING Liming(School of Basic Education,Jiangsu Vocational College of Finance and Accounting,Lianyungang 222061,China)
出处
《湖北文理学院学报》
2023年第11期13-20,共8页
Journal of Hubei University of Arts and Science
关键词
偏微分方程
模糊图像
热传导方程
多阈值
直方图均衡化
分块增强
partial differential equations
fuzzy images
heat conduction equation
multi-threshold
histogram equalization
block enhancement
