Scale-invariant shape representation based on the wavelet transform

1994 ◽  
Author(s):  
Sung H. Yoon ◽  
Winser E. Alexander ◽  
Jung H. Kim
Keyword(s):  
Wavelet Transform ◽  
Shape Representation ◽  
Scale Invariant ◽  
Invariant Shape

Medical Image Feature Matching Based on Wavelet Transform and SIFT Algorithm

2011 ◽  
Vol 65 ◽  
pp. 497-502
Author(s):  
Yan Wei Wang ◽  
Hui Li Yu
Keyword(s):  
Wavelet Transform ◽  
Wavelet Transforms ◽  
Medical Image ◽  
Feature Matching ◽  
Image Feature ◽  
Scale Invariant ◽  
Sift Algorithm ◽  
Matching Algorithm ◽  
Invariant Feature ◽  
Scale Invariant Feature

A feature matching algorithm based on wavelet transform and SIFT is proposed in this paper, Firstly, Biorthogonal wavelet transforms algorithm is used for medical image to delaminating, and restoration the processed image. Then the SIFT (Scale Invariant Feature Transform) applied in this paper to abstracting key point. Experimental results show that our algorithm compares favorably in high-compressive ratio, the rapid matching speed and low storage of the image, especially for the tilt and rotation conditions.

Herbal Plant Classification Using Rotational and Scale Invariant Shape Based Features

2018 ◽  
Vol 16 (8) ◽  
pp. 624-631
Author(s):  
Bhupendra Fataniya ◽  
Tanish Zaveri ◽  
Sanjeev Acharya
Keyword(s):  
Scale Invariant ◽  
Herbal Plant ◽  
Invariant Shape

AN INVARIANT SHAPE REPRESENTATION: INTERIOR ANGLE CHAIN

2007 ◽  
Vol 21 (03) ◽  
pp. 543-559 ◽  
Author(s):  
BIN WANG ◽  
YAN QIU CHEN
Keyword(s):  
Synthetic Aperture Radar ◽  
Shape Representation ◽  
Interior Angle ◽  
Synthetic Aperture ◽  
Radar Images ◽  
Planar Shape ◽  
The Difference ◽  
Representation Scheme ◽  
Invariant Shape ◽  
Aperture Radar

This paper proposes a novel shape representation scheme — Interior Angle Chain (IAC) — which is invariant to translation, rotation and scaling. The proposed method first approximates the contour of a planar shape with an equilateral polygon and then makes a representation using the polygon's interior angle chain. The difference between two shapes is measured by the distance between their IAC's. An algorithm to obtain equilateral polygon approximation and its associated IAC is proposed in this paper. The proposed shape representation scheme has been tested on two benchmarks and applied to lake recognition in SAR (Synthetic Aperture Radar) images. The results show that IAC is an effective shape representation scheme.

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