A Self -Adaptive Texture Image Retrieval Method Based on the Improved CS -LBP Operator

JIA Wei; WANG Zheng-yong; ZHANG Jie; LI Wei

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A Self -Adaptive Texture Image Retrieval Method Based on the Improved CS -LBP Operator

更新时间：2026-09-04

- A Self -Adaptive Texture Image Retrieval Method Based on the Improved CS -LBP Operator
- Vol. 30, Issue 9, Pages: 75-78(2013)
- 作者机构：
  
  四川大学电子信息学院图像信息研究所,四川,成都,610064
- 作者简介：
- 基金信息：
- DOI：
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- Published：2013
- 稿件说明：
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贾伟, 王正勇, 张杰, 李伟. 一种基于改进的CS-LBP算子纹理图像自适应检索方法[J]. 微电子学与计算机, 2013, 30(9): 75-78.

JIA Wei, WANG Zheng-yong, ZHANG Jie, et al. A Self -Adaptive Texture Image Retrieval Method Based on the Improved CS -LBP Operator[J]. 2013, 30(9): 75-78.
贾伟, 王正勇, 张杰, 李伟. 一种基于改进的CS-LBP算子纹理图像自适应检索方法[J]. 微电子学与计算机, 2013, 30(9): 75-78. DOI：

JIA Wei, WANG Zheng-yong, ZHANG Jie, et al. A Self -Adaptive Texture Image Retrieval Method Based on the Improved CS -LBP Operator[J]. 2013, 30(9): 75-78. DOI：

摘要

具有自适应性的方向局部二值描述符(SD -LBP)通过引入自适应对比性的阈值增加对图像局部区域及局部纹理过渡区域信息的处理，使图像检索过程中产生的噪声对检索效果的影响达到最小。采用3组实验方案对SD-LBP算子与相关算子的检索效果进行了比较分析。实验结果显示，本文算子在保持CS-LBP算子数据维数不变的条件下，对图像噪声处理更具鲁棒性，同时在检索效果、视觉特性等方面具有明显的优势。

Abstract

The self -adaptive direction local binary operator (SD-LBP) increases the information processing of the image local region and the transition region of image texture

so that the impact of image noise reaches a minimum value.Three groups of experimental program are used to analyze the retrieval performance of the SD -LBP operator and other operators.The image retrieval results based on texture spectrum show that when the operator keeps the CS-LBP data dimensions unchanged

the SD -LBP operator has stronger robustness in the processing of image noise

and it also has obvious advantages in image retrieval efficiency and visual properties.

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