Open AccessAn Efficient Technique to Extricate Keypoints from a digital image
Author(s) -
Rachel Dhanaraj,
M. Sridevi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1921/1/012068
Subject(s) - scale invariant feature transform , key (lock) , artificial intelligence , computer science , computer vision , image (mathematics) , feature (linguistics) , digital image , scale (ratio) , invariant (physics) , image processing , pattern recognition (psychology) , geography , mathematics , computer security , cartography , linguistics , philosophy , mathematical physics
With the immense technology emerging in this period, the transmitted image information across the network can be confined easily, maneuver, and then disseminated. For any labor done on processing images, it is mandatory to detect suitable meaningful keypoints. There are existing methods that perceive key points from an image but they fail to detect key points from a smooth textured area or they do not detect enough keypoints. A method is proposed using an improved version of the Scale Invariant Feature Transform (SIFT) technique that is capable of diagnosing key points even in smooth areas as well as administer key points towards the whole image evenly.