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.
引用本文: 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, ZHANG Kai. Design Patent Image Retrieval Based on Dynamic Texture Primitive[J]. Microelectronics & Computer, 2016, 33(3): 25-31, 36.
Citation: Li Qing-qing, ZHOU Chang-sheng, LV Xue-qiang, ZHANG Kai. Design Patent Image Retrieval Based on Dynamic Texture Primitive[J]. Microelectronics & Computer, 2016, 33(3): 25-31, 36.

基于动态纹理基元的外观设计专利检索

Design Patent Image Retrieval Based on Dynamic Texture Primitive

  • 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.

     

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