Efficient design of Local Binary Pattern for image retrieval

Rafi Md. Najmus Sadat, A. Rakib, M. Salehin, Naurin Afrin
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引用次数: 4

Abstract

A novel image description method named Half-LBP has been proposed in this paper for image retrieval applications. Half-LBP transforms the relationship among the intensity levels of image local pixel blocks into a binary pattern in such a way that reduces the dimension of the descriptor significantly while keeping the retrieval accuracy comparable with the state of art methods. The basic operation is quite similar to the texture operator named Local Binary Pattern (LBP). However, the dimension of the LBP method and its variants are too high and take substantial amount of time to retrieve the images. To address this issue, Half-LBP image descriptor has been proposed which takes comparatively less time to find out the matched images from the database.
图像检索中局部二值模式的高效设计
本文提出了一种新的图像描述方法——半lbp,用于图像检索。半lbp将图像局部像素块的强度等级之间的关系转换为二值模式,从而显著降低描述符的维数,同时保持与最先进方法相当的检索精度。其基本操作与局部二进制模式(Local Binary Pattern, LBP)纹理算子非常相似。然而,LBP方法及其变体的维数太高,需要大量的时间来检索图像。为了解决这一问题,提出了半lbp图像描述符,该描述符从数据库中找到匹配的图像所需的时间相对较少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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