Design Patent Image Retrieval Based on Dynamic Texture Primitive

Li Qing-qing; ZHOU Chang-sheng; LV Xue-qiang; ZHANG Kai

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Design Patent Image Retrieval Based on Dynamic Texture Primitive

更新时间：2026-09-04

- Design Patent Image Retrieval Based on Dynamic Texture Primitive
- Vol. 33, Issue 3, Pages: 25-31(2016)
- 作者机构：
  
  1. 北京信息科技大学网络文化与数字传播北京市重点实验室机构,北京,100101
  2. 北京信息科技大学机构计算中心,北京,100192
  3. 北京市朝阳区市政市容管理委员会,北京,100021
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016
- 稿件说明：
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李晴晴, 周长胜, 吕学强, 张凯. 基于动态纹理基元的外观设计专利检索[J]. 微电子学与计算机, 2016, 33(3): 25-31, 36.

Li Qing-qing, ZHOU Chang-sheng, LV Xue-qiang, et al. Design Patent Image Retrieval Based on Dynamic Texture Primitive[J]. 2016, 33(3): 25-31.
李晴晴, 周长胜, 吕学强, 张凯. 基于动态纹理基元的外观设计专利检索[J]. 微电子学与计算机, 2016, 33(3): 25-31, 36. DOI：

Li Qing-qing, ZHOU Chang-sheng, LV Xue-qiang, et al. Design Patent Image Retrieval Based on Dynamic Texture Primitive[J]. 2016, 33(3): 25-31. DOI：

摘要

提出了一种根据图像内容动态提取纹理基元并对纹理基元提取特征的图像检索算法.首先

对图像进行LBP变换

根据LBP值呈现的周期确定纹理基元的初始大小; 其次

通过逐像素点对比调整纹理基元窗口

最终确定纹理基元; 最后

对纹理基元提取特征计算图像内容相似度.实验结果显示

在检索具有重复纹理基元的图像时

使用提出的方法得出的检索效果优于已有的基于整幅图像的检索方法.

Abstract

This paper proposed an algorithm to extract texture primitive dynamically according to image itself and then get features from texture primitive to retrieval images. Firstly

do LBP transform on images

and set LBP value cycle as texture primitive initial size; then

adjust texture primitive window pixel by pixel to get final texture primitive size; last

calculate image content similarity by features extracting from texture primitive. Experimental results show that the proposed retrieval method has great performance compared with the existing method which is based on whole images in retrieving images with repetitive texture primitive.

关键词

Keywords

references

刘丽霞. 图像纹理特征研究和比较[D]. 北京: 北京邮电大学, 2011.

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朱磊, 金海, 郑然, 等. 基于形状语义的外观设计专利检索[J]. 计算机辅助设计与图形学学报, 2013, 25(3): 372-380. DOI: 372

Ojala T, Pietikainen M, Harwood D. A comparative study of texture measures with classification based on featured distributions[J]. Pattern recognition, 1996, 29(1): 51-59. DOI: 51

鲍国海. 如何检索外观设计专利情报[J]. 技术与市场, 1990, 10(2): 152. DOI: 152

刘丽, 匡纲要. 图像纹理特征提取方法综述[J]. 中国图象图形学报, 2009, 14(4): 622-635. DOI: 622

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