Variants of Local Binary Pattern: A Review

Authors

Aditya Singh
Department of Electronics and Communication Engineering Dr. B. R. Ambedkar National Institute Of Technology Jalandhar, INDIA
Ramesh K. Sunkaria
Department of Electronics and Communication Engineering Dr. B. R. Ambedkar National Institute Of Technology Jalandhar, INDIA
Anterpreet Kaur Bedi
Department of Electronics and Communication Engineering Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India

Synopsis

In everyday life, image data, such as information, processing and computer vision, play a significant role in many applications; such as image classification, image segmentation and image retrieval. A preferred attributes that has been applied in a lots of picture applications is texture. This was forming an image using an array of pixels. Texture played a significant part in image segmentation and image detection and retrieval. In addition ranked the classifications of the texture then local binary pattern are coming. The LBP method seemed to work very effectively in real time. In the LBP method, comparing the values of the central pixels with the values of the neighbouring pixels and to attribute the binary values on these values. In this paper providing an overview for the local binary model and their benefits.

WREC21
Published
September 22, 2021
Online ISSN
2582-3922