一种鲁棒的图像局部特征区域的描述方法

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名

邮箱

手机号码

标题

留言内容

验证码

A Robust Method for Local Image Feature Region Description

1.
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083;
2.
Key Laboratory for Advanced Control of Iron and Steel Process (Ministry of Education), University of Science and Technology Beijing, Beijing 100083;
3.
Vocational and Technical Institute, Hebei Normal University, Shijiazhuang 050031

摘要: 提出了一种鲁棒的图像局部特征区域的描述方法,即IWCS-LTP(Improved weighted center symmetric local trinary pattern)描述子.该方法对图像局部特征区域采用类似SIFT描述子的分块处理,可以使描述子包含更多的结构信息; 采用ICS-LTP算子进行编码,可以在不大量增加描述子维数和计算量的同时对图像的梯度方向信息进行更具体的描述; 采用加权纹理谱直方图计算方法可以使描述子包含图像的梯度幅值信息.大量的实验结果验证了该描述子的有效性.
- 局部特征区域 /
- LBP算子 /
- LTP算子 /
- CS-LBP描述子
Abstract: In this paper, a robust method for local image feature region description, which is called IWCS-LTP (improved weighted center symmetric local trinary pattern) descriptor, is proposed. It uses a SIFT-like grid that makes the descriptor contain more structural information. By using the ICS-LTP operator, the descriptor can have more information of the image gradient direction without increasing the dimension of the descriptor and computing burden. This method uses the weighted texture spectrum histogram to construct the descriptor to contain the image gradient-magnitude information. The effectiveness of the designed descriptor has been validated by extensive experiments.
- Local feature region /
- LBP operator /
- LTP operator /
- CS-LBP descriptor