In this paper, we have proposed a novel feature descriptors combining color and texture information collectively. In our proposed color descriptor component, the inter-channel relationship between Hue (H) and Saturation (S) channels in the HSV color space has been explored which was not done earlier. We have quantized the H channel into a number of bins and performed the voting with saturation values and vice versa by following a principle similar to that of the HOG descriptor, where orientation of the gradient is quantized into a certain number of bins and voting is done with gradient magnitude. This helps us to study the nature of variation of saturation with variation in Hue and nature of variation of Hue with the variation in saturation. The texture component of our descriptor considers the co-occurrence relationship between the pixels symmetric about both the diagonals of a 3 × 3 window. Our work is inspired from the work done by Dubey et al. (IEEE Signal Process Lett 22(9):1215–1219, [2015]). These two components, viz. color and texture information individually perform better than existing texture and color descriptors. Moreover, when concatenated the proposed descriptors provide a significant improvement over existing descriptors for content base color image retrieval. The proposed descriptor has been tested for image retrieval on five databases, including texture image databases—MIT-VisTex database and Salzburg texture database and natural scene databases Corel 1K, Corel 5K and Corel 10K. The precision and recall values experimented on these databases are compared with some state-of-art local patterns. The proposed method provided satisfactory results from the experiments.

中文翻译：

---

结合改进的颜色直方图和对角对称共现纹理图案的图像检索新特征描述符

在本文中，我们提出了一种将颜色和纹理信息集中在一起的新颖特征描述符。在我们提出的颜色描述符组件中，已经探索了HSV颜色空间中色相（H）和饱和度（S）通道之间的通道间关系，这是之前没有做过的。我们已经量化了H遵循类似于HOG描述符的原理，将梯度定向到多个仓中，并用饱和度值进行表决，反之亦然，在该原理中，将梯度的方向量化为一定数量的仓，并使用梯度幅度进行表决。这有助于我们研究色相随饱和度变化的性质，以及色相随饱和度变化的性质。描述符的纹理成分考虑了围绕3×3窗口的两个对角线对称的像素之间的共现关系。我们的工作灵感来自Dubey等人所做的工作。（IEEE信号处理Lett 22（9）：1215-1912，[2015]）。这两个组成部分，即。颜色和纹理信息分别比现有的纹理和颜色描述符表现更好。此外，当连接时，提出的描述符提供了比现有描述符更多的改进，用于内容库彩色图像检索。所提出的描述符已通过五个数据库的图像检索测试，包括纹理图像数据库MIT-VisTex数据库和Salzburg纹理数据库以及自然场景数据库Corel 1K，Corel 5K和Corel 10K。在这些数据库上试验的精度和召回率值与一些最新的本地模式进行了比较。所提出的方法从实验中提供了令人满意的结果。包括纹理图像数据库-MIT-VisTex数据库和Salzburg纹理数据库以及自然场景数据库Corel 1K，Corel 5K和Corel 10K。在这些数据库上试验的精度和召回率值与一些最新的本地模式进行了比较。所提出的方法从实验中提供了令人满意的结果。包括纹理图像数据库-MIT-VisTex数据库和Salzburg纹理数据库以及自然场景数据库Corel 1K，Corel 5K和Corel 10K。在这些数据库上试验的精度和召回率值与一些最新的本地模式进行了比较。所提出的方法提供了令人满意的实验结果。