局部二进制模式变体:综述

Anterpreet Kaur Bedi, R. K. Sunkaria, Simarjot Kaur Randhawa
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引用次数: 1

摘要

局部二值模式(LBP)是一种用于研究图像的各种局部结构的非参数描述符。它被认为是一种简单有效的纹理算子,可用于具有挑战性的实时图像分析。它已成功地应用于计算机视觉和图像处理的各种应用,如模式识别、纹理分析、人脸检测、图像检索等。为了提高LBP的鲁棒性和效率,本文讨论了空间域上不同的LBP变量。
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Local Binary Pattem Variants: A Review
Local Binary Pattern (LBP) is a non-parametric descriptor that is used to study various local structures of an image. It is considered as simple and efficient texture operator for image analysis in challenging real-time situations. It has been applied successfully for various applications of computer vision and image processing, like pattern recognition, texture analysis, face detection, image retrieval etc. This paper covers different LBP variants in spatial domain, which were created in order to improve its robustness and efficiency.
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