Biomedical Images Stitching using ORB Feature Based Approach

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dc.contributor.authorWin, Kyi Pyar
dc.contributor.authorKitjaidure, Yuttana
dc.date.accessioned2026-08-06T10:22:08Z
dc.date.available2026-08-06T10:22:08Z
dc.date.issued2018-11-27
dc.description.abstractThis paper proposes a system for biomedical images stitching using feature based approach. The proposed system aims to stitch the high resolution images with low processing time. The proposed system is designed with five stages., preprocessing., features extraction., features matching., homography estimation and images stitching. In feature detection stage., ORB feature based approach is used. The proposed method is improved in term of performance and accuracy. The proposed method was compared with many different features detectors., Harris corner detector., SIFT and SURF techniques. According to the experiments., ORB method had the better results than the other feature based methods in the detection rate of the corrected keypoints and processing time.
dc.identifier.citation2018 International Conference on Intelligent Informatics and Biomedical Sciences Iciibms 2018, 221-225, 2018
dc.identifier.doi10.1109/ICIIBMS.2018.8549931
dc.identifier.other2-s2.0-85060023688
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/9187
dc.source2018 International Conference on Intelligent Informatics and Biomedical Sciences Iciibms 2018
dc.subjectbiomedical images
dc.subjectfeature based approach
dc.subjectimage stitching
dc.subjectORB features
dc.subjectpanorama
dc.titleBiomedical Images Stitching using ORB Feature Based Approach
dc.typeConference Paper

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