Title of article :
A Novel Medical Freehand Sketch 3D Model Retrieval Method by Dimensionality Reduction and Feature Vector Transformation
Author/Authors :
Jing, Zhang Northwestern University - Xi’an - Shanxi, China , Sheng, Kang Bao Northwestern University - Xi’an - Shanxi, China
Abstract :
To assist physicians to quickly find the required 3D model from the mass medical model, we propose a novel retrieval method, called
DRFVT, which combines the characteristics of dimensionality reduction (DR) and feature vector transformation (FVT) method.
The DR method reduces the dimensionality of feature vector; only the top 𝑀 low frequency Discrete Fourier Transform coefficients
are retained. The FVT method does the transformation of the original feature vector and generates a new feature vector to solve
the problem of noise sensitivity. The experiment results demonstrate that the DRFVT method achieves more effective and efficient
retrieval results than other proposed methods.
Keywords :
Novel , Transformation , Dimensionality , DRFVT
Journal title :
Computational and Mathematical Methods in Medicine