首页 | 本学科首页   官方微博 | 高级检索  
     

基于分数阶微分的岩石裂隙图像增强
引用本文:王卫星,于鑫,赖均.基于分数阶微分的岩石裂隙图像增强[J].计算机应用,2009,29(11):3015-3017.
作者姓名:王卫星  于鑫  赖均
作者单位:重庆邮电大学 计算机科学与技术学院
基金项目:国家自然科学基金资助项目 
摘    要:从分数阶微分对图像细微细节的增强能力出发,对分数阶微分的机理进行分析。将算子模板的非零权值平分到与常系数“1”距离相同的像素点中,利用周围像素点的自相关性,得到一种改进的分数阶微分算子模板。实验结果表明:对于纹理细节信息丰富的图像而言,分数阶微分对灰度变化不大的平坦区域中的纹理细节信息的提取效果明显优于整数阶微分运算。

关 键 词:分数阶微分    图像增强    微分阶数    掩模模板    岩石裂隙
收稿时间:2009-05-21
修稿时间:2009-07-28

Image enhancement for rock fractures based on fractional differential
WANG Wei-xing,YU Xin,LAI Jun.Image enhancement for rock fractures based on fractional differential[J].journal of Computer Applications,2009,29(11):3015-3017.
Authors:WANG Wei-xing  YU Xin  LAI Jun
Abstract:Starting from the enhanced ability of fractional differential to image details, the authors analyzed the mechanism of fractional differential. By averaging the nonzero weights of operator template to the image pixels which have the same distance to constant coefficient "1" as well as utilizing self-dependency of surrounding pixels, an improved fractional order differential operator template was achieved. The experimental results show: in response to those images that have rich textural detail information, fractional differential outperforms integral differential operation to extract the textural detail information in smooth region witout too much gray scale change.
Keywords:fractional differential  image enhancement  differential order  cover module  rock fracture
本文献已被 万方数据 等数据库收录!
点击此处可从《计算机应用》浏览原始摘要信息
点击此处可从《计算机应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号