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
Pages
11
From page
1
To page
11
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
Serial Year
2016
Full Text URL
Record number
2607135
Link To Document