Shift and scale invariant detection

Zalubas, Eugene J.; O'Neill, J.C.; Williams, William J.; Hero, Alfred O.

doi:10.1109/icassp.1997.604654

Cited by 16 publications

(9 citation statements)

References 6 publications

(7 reference statements)

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“…The vibration signals were processed into joint time-frequency energy distributions [32] and a set of time-shift invariant time-frequency moments [13,54,55], was extracted. Since those moments asymptotically follow a Gaussian distribution [56], statistical reasoning was utilized to evaluate the overlap between signatures describing the normal process behavior (used for training) and those describing the most recent process behavior. Fig.…”

Section: Implementation Examplesmentioning

confidence: 99%

Watchdog Agent—an infotronics-based prognostics approach for product performance degradation assessment and prediction

Djurdjanović

Lee

2003

Advanced Engineering Informatics

247

113

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Section: Implementation Examplesmentioning

confidence: 99%

Watchdog Agent—an infotronics-based prognostics approach for product performance degradation assessment and prediction

Djurdjanović

Lee

2003

Advanced Engineering Informatics

247

113

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“…In the context of this paper, success in recognizing individual sperm whales by means of their transient sounds has been accomplished. 9 The STIR method and an alternative method based on moment methods were studied. Others have found use in moment based methods for timefrequency classification.…”

Section: Tmj Clicksmentioning

confidence: 99%

Scale and translation invariant shape and signal classification and detection

Williams

2003

SPIE Proceedings

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Highly sophisticated methods for detection and classification of signals and images are available. However, most of these methods are not robust to nonstationary variations such as imposed by Doppler effects or other forms of warping. Fourier methods handle time-shift or frequency shift variations in signals or spatial shifts in images. A number of methods have been developed to overcome these problems. In this paper we discuss some specific approaches that have been motivated by time-frequency analysis. Methodologies developed for images can often be profitably used for fime-frequency analysis as well, since these representations are essentially images. The scale transform introduced by Cohen can join Fourier transforms in providing robust representations. Scale changes are common in many signal and image scenarios. We call the representation which results from appropriate transformations of the object of interest the Scale and Translation Invariant Representation or STIR. The STIR method is summarized and results from machine diagnosis, radar, marine mammal sounds, TMJ sounds, speech and word spotting are discussed. Some of the limitations and variations of the method are discussed to provide a rationale for selection of particular elements of the method.

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“…Thus, the primary task in marker lane analysis is to fit a distorted version of a standard template to the marker trace. In this respect, the analysis has much in common with algorithms in pattern matching or pattern recognition using deformable templates (Grenander and Miller 1994;Jain et al 1996;Zalubas et al 1997).…”

Section: Marker Band Detectionmentioning

confidence: 99%

Software for Automated Analysis of DNA Fingerprinting Gels

Fuhrmann¹,

Krzywinski²,

Chiu³

et al. 2003

Genome Res.

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Here we describe software tools for the automated detection of DNA restriction fragments resolved on agarose fingerprinting gels. We present a mathematical model for the location and shape of the restriction fragments as a function of fragment size, with model parameters determined empirically from “marker” lanes containing molecular size standards. Automated identification of restriction fragments involves several steps, including: image preprocessing, to put the data in a form consistent with a linear model; marker lane analysis, for determination of the model parameters; and data lane analysis, a procedure for detecting restriction fragment multiplets while simultaneously determining the amplitude curve that describes restriction fragment amplitude as a function of mobility. In validation experiments conducted on fingerprinted and sequenced Bacterial Artificial Chromosome (BAC) clones, sensitivity and specificity of restriction fragment identification exceeded 96% on restriction fragments ranging in size from 600 base pairs (bp) to 30,000 bp. The integrated suite of software tools, written in MATLAB and collectively called BandLeader, is in use at the BC Cancer Agency Genome Sciences Centre (GSC) and the Washington University Genome Sequencing Center, and has been provided to the Wellcome Trust Sanger Institute and the Whitehead Institute. Employed in a production mode at the GSC, BandLeader has been used to perform automated restriction fragment identification for more than 850,000 BAC clones for mouse, rat, bovine, and poplar fingerprint mapping projects

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Shift and scale invariant detection

Cited by 16 publications

References 6 publications

Watchdog Agent—an infotronics-based prognostics approach for product performance degradation assessment and prediction

Watchdog Agent—an infotronics-based prognostics approach for product performance degradation assessment and prediction

Scale and translation invariant shape and signal classification and detection

Software for Automated Analysis of DNA Fingerprinting Gels

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