Title :
The Invariant of Zernike Moment in Image Recognition about Intravenous Infusion Needle
Author_Institution :
Coll. of Mech. Eng., Zhejiang Univ. of Technol., Hangzhou, China
Abstract :
It is an effective solution to recognize the position of intravenous infusion needles using the Zernike moments invariants. Firstly, preprocessing and normalizing the character image are introduced; secondly, the image´s rotation invariant features using Zernike moments are gotten. The result shows that the Zernike moment has better invariant properties, and can describe robustly the needle-image rotated shape.
Keywords :
image recognition; needles; Zernike moment invariant; character image normalization; image recognition; image rotation invariant features; intravenous infusion needle; Accuracy; Feature extraction; Image recognition; Needles; Polynomials; Shape; Valves;
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
DOI :
10.1109/ICMULT.2010.5629642
