王锋, 殷珍珍, 李彬. 基于分块局部二值模式的图像检索研究[J]. 微电子学与计算机, 2014, 31(5): 21-23,27.
引用本文: 王锋, 殷珍珍, 李彬. 基于分块局部二值模式的图像检索研究[J]. 微电子学与计算机, 2014, 31(5): 21-23,27.
WANG Feng, YIN Zhen-zhen, LI Bin. Image Retrieval Based on Block Local Binary Pattern[J]. Microelectronics & Computer, 2014, 31(5): 21-23,27.
Citation: WANG Feng, YIN Zhen-zhen, LI Bin. Image Retrieval Based on Block Local Binary Pattern[J]. Microelectronics & Computer, 2014, 31(5): 21-23,27.

基于分块局部二值模式的图像检索研究

Image Retrieval Based on Block Local Binary Pattern

  • 摘要: 提出一种分块局部二值模式的图像检索方法,首先利用3×3像素邻域的局部灰度均值代替其中心像素作为阈值计算LBP值,以改善传统LBP算子的缺陷;然后对图像采用分块处理,以便更好地提取图像的局部特征.实验表明,与传统的基于局部二值模式的图像检索方法相比,此方法具有更高的检索准确率.

     

    Abstract: In this paper,a method of image retrieval based on block local binary pattern is proposed.To improve the original LBP,the average local gray level of a 3×3local area is used to calculate the value of LBP instead of the gray value of its central pixel.Then,the image is divided into several different sub-blocks.Thus the better local features of the image can be extracted.Compared with the method of original LBP,the result of experiment shows that the method of image retrieval based on blocked local binary pattern can achieve higher precision.

     

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