Open AccessFeature Extraction of Real-Time Image Using SIFT Algorithm
Author(s) -
N. Sasikala,
V. Swathipriya,
M. Ashwini,
V. Preethi,
A. Pranavi,
M. Ranjith
Publication year - 2020
Publication title -
european journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
ISSN - 2736-5751
DOI - 10.24018/ejece.2020.4.3.206
Subject(s) - scale invariant feature transform , artificial intelligence , computer science , feature extraction , thresholding , pattern recognition (psychology) , feature (linguistics) , computer vision , feature detection (computer vision) , image processing , generator (circuit theory) , image (mathematics) , matching (statistics) , field (mathematics) , mathematics , power (physics) , linguistics , philosophy , physics , statistics , quantum mechanics , pure mathematics
This paper deals with image processing and feature extraction. Feature extraction plays a vital role in the field of image processing. There exist different image pre-processing approaches for feature extraction such as binarization, thresholding, resizing, normalisation so on...Then after these techniques are applied to obtain high clarity images. In Feature extraction object recognition and stereo matching are at the base of many computer vision problems. The descriptor generator module is changed for increasing the performance of algorithm. SIFT algorithm consist of two modules such as key point detection module and descriptor generation module. When compared to recent solution, the descriptor generation module speed is fifteen times faster and the time for feature extraction is also reduced.