Abstract

In this present work, a new technique for content-based image retrieval is introduced using local tetra-directional pattern. In conventional local binary pattern (LBP), each pixel of an image is changed into a specific binary pattern in accordance with their relationship with neighbouring pixels. Texture feature descriptor introduced in this work differs from local binary pattern as it exploits local intensity of pixels in four directions in the neighbourhood. Also, colour feature and gray level co-occurrence matrix have been applied in this work. Median of images have also been taken under consideration to keep the edge information preserved. The proposed technique has been validated experimentally by conducting experiments on two different sets of data, viz., Corel-1K and AT&T. Performance was measured using two well-known parameters, precision and recall, and further comparison was carried with some state-of-the-art local patterns. Comparison of results show substantial improvement in the proposed technique over existing methods.

中文翻译：

---

局部四向图案-基于内容的图像检索的新纹理描述符

摘要

在本工作中，使用局部四向模式介绍了一种用于基于内容的图像检索的新技术。在传统的局部二进制图案（LBP）中，图像的每个像素根据它们与相邻像素的关系而改变为特定的二进制图案。这项工作中引入的纹理特征描述符不同于局部二进制模式，因为它利用了邻域中四个方向上像素的局部强度。同样，色彩特征和灰度共现矩阵已被应用到这项工作中。还考虑了图像的中位数以保留边缘信息。通过对两组不同的数据（Corel-1K和AT＆T）进行实验，已对所提出的技术进行了实验验证。使用两个众所周知的参数来衡量性能，精度和召回率，并与一些最新的本地模式进行了进一步的比较。结果比较表明，所提出的技术比现有方法有了实质性的改进。