检索结果-内蒙古大学图书馆

International Symposium on Intelligent Ubiquitous Computing and Education

作者： Wang, Xiuchen Zhongyuan Univ Technol Zhengzhou Peoples R China

ISBN: (纸本)9780769536194

Aiming at the problem that current studies about computer recognition of fabric defects need immense calculating time and complex procedure and can't recognize correctly. In this paper, by imitating human vision system, a new computer algorithm based on texture rule for rapidly and correctly detection of fabric flaws is offered, Using this method, computer system may detect fabric flaws without pre-training in virtue of analyzing texture rule of fabric image region. Firstly, a low-dimensional matrix of fabric image is established by segmenting the image region and finding rule parameter of each region. Secondly, a rule comparison function and rule certain function based on rule parameter for fabric image are constructed. Then the fabric image is decomposed to rule regions and ruleless regions, it is confirmed that the fabric flaws locate in the ruleless regions. Thirdly, "vicinity flaw emerging way" is proposed to emerge flaws, "region distance difference way" was used for detecting exact position by calculating the difference between rule regions and ruleless regions. The fuzzy recognition method is presented to recognize the shape of fabric flaw. Finally, the experiment result shows that this method avoids a mass of complex calculate and adapts to detect fabric flaw with high speed. This method needn't pre-training and saves operating time, can detect much extensive fabric flaws and have a good recognition result.

关键词： discriminating algorithm fabric flaw texture rule

来源：评论

学校读者我要写书评

暂无评论

Rapid discriminating algorithm of Fabric Flaw Based on Texture Rule

Rapid Discriminating Algorithm of Fabric Flaw Based on Textu...

引用

2009 International Symposium on Intelligent Ubiquitous Computing and Education(2009国际智能普适计算与教育研讨会 IUCE 2009)

作者： Xiuchen WANG Zhongyuan University of Technology Zhengzhou China

Aiming at the problem that current studies about computer recognition of fabric defects need immense calculating time and complex procedure and can't recognize correctly. In this paper, by imitating human vision system, a new computer algorithm based on texture rule for rapidly and correctly detection of fabric flaws is offered, Using this method, computer system may detect fabric flaws without pretraining in virtue of analyzing texture rule of fabric image region. Firstly, a low-dimensional matrix of fabric image is established by segmenting the image region and finding rule parameter of each region. Secondly, a rule comparison function and rule certain function based on rule parameter for fabric image are constructed. Then the fabric image is decomposed to rule regions and ruleless regions, it is confirmed that the fabric flaws locate in the ruleless regions. Thirdly, "vicinity flaw emerging way" is proposed to emerge flaws, "region distance difference way" was used for detecting exact position by calculating the difference between rule regions and ruleless regions. The fuzzy recognition method is presented to recognize the shape of fabric flaw. Finally, the experiment result shows that this method avoids a mass of complex calculate and adapts to detect fabric flaw with high speed. This method needn't pre-training and saves operating time, can detect much extensive fabric flaws and have a good recognition result

关键词： discriminating algorithm fabric flaw texture rule

来源：评论

学校读者我要写书评

暂无评论

Median filtering detection using LBP encoding pattern^☆

引用

MULTIMEDIA TOOLS AND APPLICATIONS 2021年第12期80卷 17721-17744页

作者： Wang, Xiaofeng Li, Xinai Tang, Chao Hu, Shaolin Xian Univ Technol Sch Sci Xian 710048 Shaanxi Peoples R China Guangdong Univ Petrochem Technol Maoming Guangdong Peoples R China

In recent years, median filtering detection has a widely application in many fields such as images' processing history tracking, image editing detection, image anti-forensics analyzing and anti-steganalysis analyzing. In this paper, we propose two median filtering detection algorithms. The algorithm I is a recognition algorithm that can identify whether a given image has undergone median filtering. The algorithm II is a discriminating algorithm that can distinguish a median (average, Gaussian) filtered image from unfiltered images. Differing from the general framework of existing median filtering detectors, the contribution of our work is that the presented methods are not based on the statistical learning model. The proposed methods do not need any classifier, or any threshold. These methods are implemented by counting the number of specific Local Binary Pattern encoding patterns of a single image. Experimental results demonstrate that the proposed methods provide high accuracy and broad-spectrum robustness for tolerating content-preserving manipulations. Compared to state-of-the-art methods, the proposed methods exhibit high efficiency, high accuracy, and strong robustness.

关键词： Median filtering detection Local binary pattern discriminating algorithm Recognition algorithm

来源：评论

学校读者我要写书评

暂无评论

Median filtering detection using LBP encoding pattern

引用

MULTIMEDIA TOOLS AND APPLICATIONS 2022年

作者： Wang, Xiaofeng Li, Xinai Tang, Chao Ding, Liangyiwen Xian Univ Technol Sch Sci Xian 710048 Shaanxi Peoples R China

关键词： Median filtering detection Local binary pattern discriminating algorithm Recognition algorithm

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：