AUTHOR=Liu Yan , Tian Jiawei , Hu Rongrong , Yang Bo , Liu Shan , Yin Lirong , Zheng Wenfeng 

TITLE=Improved Feature Point Pair Purification Algorithm Based on SIFT During Endoscope Image Stitching

JOURNAL=Frontiers in Neurorobotics

VOLUME=16

YEAR=2022

URL=https://www.frontiersin.org/journals/neurorobotics/articles/10.3389/fnbot.2022.840594

DOI=10.3389/fnbot.2022.840594

ISSN=1662-5218

ABSTRACT=<p>Endoscopic imaging plays a very important role in the diagnosis and treatment of lesions. However, the imaging range of endoscopes is small, which may affect the doctors' judgment on the scope and details of lesions. Image mosaic technology can solve the problem well. In this paper, an improved feature-point pair purification algorithm based on SIFT (Scale invariant feature transform) is proposed. Firstly, the K-nearest neighbor-based feature point matching algorithm is used for rough matching. Then RANSAC (Random Sample Consensus) method is used for robustness tests to eliminate mismatched point pairs. The mismatching rate is greatly reduced by combining the two methods. Then, the image transformation matrix is estimated, and the image is determined. The seamless mosaic of endoscopic images is completed by matching the relationship. Finally, the proposed algorithm is verified by real endoscopic image and has a good effect.</p>