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Journal ArticleDOI

A New Implementation of the Mellin Transform and its Application to Radar Classification of Ships

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TLDR
A modified Mellin transform for digital implementation is developed and applied to range radar profiles of naval vessels and results in the desired insensitivity without having the low-pass filtering characteristic that exists in other Fourier-Mellin implementations.
Abstract
A modified Mellin transform for digital implementation is developed and applied to range radar profiles of naval vessels. The scale invariance property of the Mellin transform provides a means for extracting features from the profiles which are insensitive to the aspect angle of the radar. Past implementations of the Mellin transform based on the FFT have required exponential sampling, interpolation, and the computation of a correction term, all of which introduce errors into the transform. In addition, exponential sampling results in a factor of ln N increase in the number of data points. An alternate implementation, developed in the paper, utilizes a direct expansion of the Mellin integral definition. This direct Mellin transform (DMT) eliminates the implementation problems associated with the FFT approach, and does not increase the number of samples. A scale and translation invariant transform is developed from a modification of the DMT. The MDMT applied to the FFT of the radar profiles results in the desired insensitivity without having the low-pass filtering characteristic that exists in other Fourier-Mellin implementations.

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Citations
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Journal ArticleDOI

An FFT-based technique for translation, rotation, and scale-invariant image registration

TL;DR: This correspondence discusses an extension of the well-known phase correlation technique to cover translation, rotation, and scaling, which shows excellent robustness against random noise.
BookDOI

The transforms and applications handbook

TL;DR: Poularikas et al. as discussed by the authors proposed the Hartley Transform, Kraig J. Olejniczak, University of Arkansas, Fayetteville Laplace Transforms, Samuel Seely (deceased), Westbrook, Connecticut The Z-Transform, Alexander D. Poularis et al., University of Alabama in Huntsville Hilbert Transform, Stefan L. Hahn, Warsaw University of Technology Radon and Abel Transforms.
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Efficient Dense-Field Copy–Move Forgery Detection

TL;DR: A new algorithm for the accurate detection and localization of copy-move forgeries, based on rotation-invariant features computed densely on the image, is proposed, using a fast approximate nearest-neighbor search algorithm, PatchMatch, especially suited for the computation of dense fields over images.
Journal ArticleDOI

Robust and Efficient Fourier-Mellin Transform Approximations for Gray-Level Image Reconstruction and Complete Invariant Description

TL;DR: Experimental results on real gray-level images show that it is possible to recover an image to within a specified degree of accuracy and to classify objects reliably even when a large set of descriptors is used.
Journal ArticleDOI

A noise-robust frequency domain technique for estimating planar roto-translations

TL;DR: A new method for estimating planar roto-translations that operates in the frequency domain and as such, is not based on features, which is very robust against noise, it can be very accurate, and can become an effective tool for unsupervised estimation of roto -translations by means of implementations based on FFT algorithms.
References
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Book

Theory and application of digital signal processing

TL;DR: Feyman and Wing as discussed by the authors introduced the simplicity of the invariant imbedding method to tackle various problems of interest to engineers, physicists, applied mathematicians, and numerical analysts.
Journal ArticleDOI

Position, rotation, and scale invariant optical correlation

TL;DR: A new optical transformation that combines geometrical coordinate transformations with the conventional optical Fourier transform is described, which is invariant to both scale and rotational changes in the input object or function.
Journal ArticleDOI

New optical transforms for pattern recognition

TL;DR: In this article, new optical transformations are discussed, including Mellin transforms, Fourier-Mellin transforms and combinations of Geometrical transformations and Fourier Mellin operations.
Journal ArticleDOI

Inverse filtering for linear shift-variant imaging systems

TL;DR: In this paper, a technique for inverse filtering of linear shift-variant imaging systems is introduced. But the technique requires that the linear system be decomposed into a distortion of the input plane followed by a shift-invariant operation and terminated by a distortion on the output plane.
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