Weber local descriptor (WLD) is applied for addressing the challenges in image/pattern problems, especially in computer vision and pattern recognition domains. In this paper, we review literature on theories and applications of WLD. Using WLD, we address the different challenges of image analysis and recognition features with respect to illumination changes, contrast differences, and geometrical transformations like rotation, scaling, translation, and mirroring. Further, the role of the classifiers and experimental protocols used in the different applications are discussed. Applications include texture classification, medical imaging, agricultural safety, fingerprint analysis, forgery analysis, and face recognition.

中文翻译：

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用于图像分析和识别的 Weber 局部描述符：一项调查

韦伯局部描述符 (WLD) 用于解决图像/模式问题中的挑战，尤其是在计算机视觉和模式识别领域。在本文中，我们回顾了有关 WLD 理论和应用的文献。使用 WLD，我们解决了图像分析和识别特征在光照变化、对比度差异和几何变换（如旋转、缩放、平移和镜像）方面的不同挑战。此外，还讨论了在不同应用中使用的分类器和实验协议的作用。应用包括纹理分类、医学成像、农业安全、指纹分析、伪造分析和人脸识别。