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Fast normalized cross correlation for defect detection
2003
Pattern Recognition Letters
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In this paper, we propose a fast normalized cross correlation computation for defect detection application. A ...
Normalized cross correlation has been used extensively for many machine vision applications, but the traditional normalized correlation operation does not meet speed requirements for time-critical applications ...
The traditional normalized correlation operation does not meet speed requirements for industry applications. In this paper, we present a fast normalized cross correlation for defect detection. ...
doi:10.1016/s0167-8655(03)00106-5
fatcat:5jjdydd7mncbvld2s26b3ucofm
The fast normalized cross-correlation double-talk detector
2006
Signal Processing
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This approach uses a robust fast recursive least-squares algorithm (FRLS) and the normalized cross-correlation double-talk detector (NCC DTD). ...
The NCC DTD is developed into a fast version, called FNCC, by reusing computational results from the FRLS algorithm. ...
normalized cross-correlation (FNCC) DTD. ...
doi:10.1016/j.sigpro.2005.07.035
fatcat:73h2bs4dwjhj7cht2qvguxgkve
Computation of the normalized cross-correlation by fast Fourier transform
2018
PLoS ONE
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The normalized cross-correlation (NCC), usually its 2D version, is routinely encountered in template matching algorithms, such as in facial recognition, motion-tracking, registration in medical imaging ...
Here I develop a scheme for the computation of NCC by fast Fourier transform that can favorably compare for speed efficiency with other existing techniques and may outperform some of them given an appropriate ...
This dependency is eliminated if one uses the normalized form of the covariance, referred to as the normalized cross-correlation (otherwise known as the correlation coefficient). ...
doi:10.1371/journal.pone.0203434
pmid:30235231
pmcid:PMC6147431
fatcat:ynu7w7ordrepnkk7j2tpebvqey
Fast normalized cross correlation for motion tracking using basis functions
2006
Computer Methods and Programs in Biomedicine
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Normalized cross correlation (NCC) is the most robust correlation measure for determining similarity between points in two or more images providing an accurate foundation for motion tracking. ...
However, even using fast fourier transform (FFT) methods, it is too computationally intense for rapidly managing several large images. ...
The most common and effective way of doing this task is by Normalized Cross Correlation (NCC) methods, which have a significant advantage over standard cross correlation (CC) methods, in that these methods ...
doi:10.1016/j.cmpb.2006.02.007
pmid:16581152
fatcat:bfeyb6ggkvba5cvp2sxbgend7y
A fast normalized cross-correlation calculation method for motion estimation
2010
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
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Normalized cross-correlation (NCC) has been shown as one of the best motion estimators. However, a significant drawback is its associated computational cost, especially when RF signals are used. ...
In this paper, a method based on sum tables developed elsewhere is adapted for fast NCC calculation in ultrasound-based motion estimation, and is tested with respect to the speed enhancement of the specific ...
cross-correlation (cc), normalized cross-correlation (ncc), zero-mean normalized cross-correlation (Zncc, i.e., normalized covariance), sum of absolute differences (sad), and sum of squared differences ...
doi:10.1109/tuffc.2010.1554
pmid:20529710
pmcid:PMC4123965
fatcat:o7vefoa7inbetf6bwlo7vxhtwy
A Fast Normalized Cross Correlation-Based Block Matching Algorithm Using Multilevel Cauchy-Schwartz Inequality
2011
ETRI Journal
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This paper presents a fast block-matching algorithm based on the normalized cross-correlation, where the elimination order is determined based on the gradient magnitudes of subblocks in the current macroblock ...
Also, additional complexity reduction is achieved re-using the normalized cross correlation values for the spatially neighboring macroblock because the search areas of adjacent macroblocks are overlapped ...
MSEA reduces the necessary computation by detecting and rejecting unnecessary candidates from the lowest level to the A Fast Normalized Cross Correlation-Based Block Matching Algorithm Using Multilevel ...
doi:10.4218/etrij.11.0110.0315
fatcat:ke5dq3wytnbvplmz4smmrvff7m
Kalman/Map Filtering-Aided Fast Normalized Cross Correlation-Based Wi-Fi Fingerprinting Location Sensing
2013
Sensors
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A Kalman/map filtering (KMF)-aided fast normalized cross correlation (FNCC)-based Wi-Fi fingerprinting location sensing system is proposed in this paper. ...
The FNCC computes efficiently while maintaining the same accuracy as the basic normalized cross correlation. Additionally, a KMF is also proposed to process fingerprinting localization results. ...
Fast Normalized Cross Correlation-Based Fingerprinting Performance
Localization Results of Fast Normalized Cross Correlation-Based Fingerprinting Algorithm The performance of the FNCC algorithm is evaluated ...
doi:10.3390/s131115513
pmid:24233027
pmcid:PMC3871130
fatcat:trpzz7x7yjcpxnnif7mzhodh7e
An Efficient and Fast Partial Template Matching Technique – Enhancement in Normalized Cross Correlation
2019
International Journal of Engineering and Advanced Technology
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There are many existing template matching algorithms like Sum of Absolute Difference (SAD), Normalized SAD (NSAD), Correlation methods (CORR), Normalized CORR(NCORR), Sum of Squared Difference (SSD), and ...
Normalized SSD(NSSD). ...
In this method the partial approach is experimented for the existing Normalized Cross Correlation method.
V. ...
doi:10.35940/ijeat.f8362.109119
fatcat:q4fxn373endptkvghckuhgdlcy
Fast Quadtree Based Normalized Cross Correlation Method for Fractal Video Compression using FFT
2016
Journal of Electrical Engineering and Technology
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Normalized cross correlation is used to find the structural self similar domain block for the input range block. ...
To increase the searching speed, cross correlation is implemented in the frequency domain using FFT with one computational operation for all the domain blocks instead of individual block wise calculations ...
In this article, a fast normalized cross correlation algorithm for fractal video coding is proposed. ...
doi:10.5370/jeet.2016.11.2.519
fatcat:6xewy7hd6va7pldb5wuz5phcoq
Fast Pattern Detection Using Normalized Neural Networks and Cross-Correlation in the Frequency Domain
2005
EURASIP Journal on Advances in Signal Processing
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Such algorithm was designed based on cross-correlation in the frequency domain between the input image and the weights of neural networks. ...
In our previous work, a fast algorithm for object/face detection was presented. ...
As a result, fast neural networks, based on cross-correlation in the frequency domain, have become faster than conventional neural networks. ...
doi:10.1155/asp.2005.2054
fatcat:5k2v4rwgfvgjlj6wqzbmluy5xq
A Fast Normalized Cross-Correlation Computation for WSOLA-based Speech Time-Scale Modification
WSOLA 기반의 음성 시간축 변환을 위한 고속의 정규상호상관도 계산
2012
The Journal of the Acoustical Society of Korea
WSOLA 기반의 음성 시간축 변환을 위한 고속의 정규상호상관도 계산
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The computational load of WSOLA is concentrated on the repeated normalized cross-correlation (NCC) calculation to evaluate the similarity between two signal waveforms. ...
factor, the numerator part of NCC has less redundancy and the amount of redundancy is dependent on both the time-scale factor and optimal shift value, thereby requiring more sophisticated algorithm for fast ...
doi:10.7776/ask.2012.31.7.427
fatcat:pgfy4fxt25bjfc2tkyt4rkklca
Fast Normalized Cross Correlation Based on Adaptive Multilevel Winner Update
[chapter]
Advances in Multimedia Information Processing – PCM 2007
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In this paper we propose a fast normalized cross correlation (NCC) algorithm for pattern matching based on combining adaptive multilevel partition with the winner update scheme. ...
This winner update scheme is applied in conjunction with an upper bound for the cross correlation derived from Cauchy-Schwarz inequality. ...
pattern matching in an image based on normalized cross correlation. ...
doi:10.1007/978-3-540-77255-2_48
dblp:conf/pcm/WeiL07
fatcat:vv7evxgy6rdnlpeaeteq2c5wk4
Self-localization of a mobile robot using fast normalized cross correlation
IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028)
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The landmarks are detected in an omnidirectional panorama image using a modified, fast normalized cross correlation (NCC) algorithm. ...
Mult (b) Cross correlation matrix y(u, w). M (d) Surface plot of t ( z , y).
Figure 1 : 1 Experiment: Template matching with fast normalized cross correlation. (f) Surface plot of t ( z , y). ...
doi:10.1109/icsmc.1999.812493
fatcat:falzkwwx4vc2nil7tv4n5nsc54
An Application of Numbers and Characters Recognition on Radar Images
2018
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
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The accuracy of results in this program using Fast Normalized Cross-Correlation with OCR templates was 86 percent. ...
Therefore, this work has applied Tesseract OCR library to help read the date and time images and used Fast Normalized Cross-Correlation theory to enhance the performance of the template matching and to ...
Fast Normalized Cross Correlation Theory Normalized Cross Correlation (NCC) is the correlation measure to define similarity between two or more images. ...
doi:10.24297/ijct.v17i2.7626
fatcat:raibawg7rrbcnkqwbkooom6qkq
New fast normalized neural networks for pattern detection
2007
Image and Vision Computing
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Such processors are designed based on cross correlation in the frequency domain between the input image and the input weights of neural networks. ...
Simulation results show that local subimage normalization through weight normalization is faster than sub-image normalization in the spatial domain. ...
a normalized sub-image with the weight matrix is equal to the cross-correlation of the non-normalized sub-image with the normalized weight matrix [17] [18] [19] . ...
doi:10.1016/j.imavis.2007.02.001
fatcat:6eupvslqwfehxeavpzkonoztnm
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