International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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An Enhancement of Oriented Fast and Rotated Brief (Orb) Algorithm for Feature Extraction in Retinal Images

Author(s) Ms. Samantha Domingo Chaves, Mr. Lantis Lagumbay Fernandez, Prof. Erwin Marcelo, Dr. Khatalyn Mata
Country Philippines
Abstract The extraction of descriptive features from retinal images is a significant challenge to computer vision algorithms due to textures and different intensity variations. While the Oriented Fast and Rotated Brief (ORB) algorithm is rotation invariant, its application in retinal imaging is often constrained by its existing algorithmic processes. This study proposes an enhancement of the ORB algorithm for retinal feature extraction to address the limitations of traditional approaches. Significant limitations of the existing algorithm include the use of a fixed threshold that results in non-uniform keypoint distribution and reliance of feature descriptors on intensity comparisons that leads to incorrect feature matching. These problems lead to biased feature representations that fail to capture the crucial anatomical information in the retina. To overcome these challenges, a two-fold enhancement is introduced: an adaptive thresholding mechanism based on local pixel intensities and the incorporation of intensity difference information to enrich feature descriptors. Experimental evaluation using standard performance metrics demonstrates that the enhanced ORB algorithm significantly outperforms the standard implementation, achieving a 33.8% improvement in keypoint distribution evenness and a 14.8% increase in precision with a 42.9% reduction in RMSE. These results indicate that the proposed method effectively improves the performance of the algorithm for feature extraction in retinal images.
Keywords Oriented Fast and Rotated Brief, feature extraction, retinal images, adaptive threshold.
Field Computer > Data / Information
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-02-28
DOI https://doi.org/10.36948/ijfmr.2026.v08i01.70140
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E-ISSN 2582-2160
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