LBP-Based Image Feature Extraction Algorithm

This article presents the Local Binary Pattern (LBP) based image feature extraction algorithm. The LBP algorithm demonstrates substantial advantages in image retrieval applications, though it requires considerable improvements in implementation. We recommend hands-on implementation to explore both its strengths and limitations. During implementation, developers may encounter challenges such as optimizing time and space complexity, handling special image scenarios, and improving rotation invariance. The core algorithm involves comparing pixel intensities with neighbors to generate binary codes, typically implemented through sliding window operations and histogram feature generation. Through practical exploration, developers can better understand the algorithm's working principles and application scope, ultimately contributing to its advancement. We encourage active experimentation and knowledge sharing within the research community regarding implementation techniques and optimization strategies.