Scale Invariant Feature Transform for n-Dimensional Images (n-SIFT)

Warren Cheung1*,Ghassan Hamarneh
1.University of British Columbia
Abstract

Abstract

This document describes the implementation of several features previously developed[2], extending the 2D scale invariant feature transform (SIFT)[4, 5] for images of arbitrary dimensionality, such as 3D medical image volumes and time series, using ITK1. Specifically, we provide a scale invariant implementation of a weighted histogram of gradient feature, a rotationally invariant version of the histogram feature, and a SIFT-like feature, adapted to handle images of arbitrary dimensionality. This paper is accompanied with the source code, example input data, parameters and output data, allowing reproduction of the example results in this paper and the results previously reported[2]. Note that usage of SIFT in the United States is governed by US Patent 6,711,293.

Keywords

ITK4D3Dimage matchingscale-invariantSIFT
Manuscript
Source Code and Data

Source Code and Data

IJMacros.txt3.1 KBCMakeLists.txt2.5 KBImageCompare.cxx8 KBitkScaleInvariantFeatureImageFilter.txx40.2 KBitkScaleInvariantFeatureImageFilter.h11.9 KBtestnD.cxx14.1 KB

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