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Statistics with Applications in Engineering Sciences
Department of Statistics
Studenten im Sommer auf dem Campus Nord, rote Zahnräder im Hintergrund © Roland Baege​/​TU Dortmund
Statistik mit Anwendungen im Bereich der Ingenieurwissenschaften

Software-Pakete / Software Packages

R-package crackrec for crack recognition

This R package provides R functions for dectecting and plotting cracks in images. These functions were developed in the SFB/TR TRR 30 Project D6 and are described in more detail in:

  • Gunkel, C., Stepper, A., Müller, A. C., Müller, C. H. (2009). Micro crack detection with Dijkstra's shortest path algorithm. Submitted.

Für R 2.12.1:

1. crackrec_2.1.6.zip is a binary zip file of the Window version which can be called by "packages".

2. crackrec_2.1.6.tar.gz contains the files to install the package  under UNIX/LINUX by the command "R CMD INSTALL crackrec".

Für R 2.9.2:

1. crackrec_2.1.5.zip is a binary zip file of the Window version which can be called by "packages".

2. crackrec_2.1.5.tgz is the Mac binary.

3. crackrec_2.1.5_source.zip  contains the original files.

4. crackrec_2.1.5.tar.gz contains the files to install the package  under UNIX/LINUX by the command "R CMD INSTALL crackrec".

Image.bmp contains an example image as bmp file and example.txt provides examples of R commands to analyse the image with crackrec. The package crackrec includes a median filter. But a faster C program for the median was developed by Ryan Tibshirani.

 

 

R-package epsi for edge preserving smoothing in images

This R package provides R functions for smoothing noisy images so that edges are preserved. Some of them preserve also corners, some of them eliminate outliers, and some do both. These functions were developed in the DFG project Mu 1031/4-1/2 and are described in more detail in:

  • Chu, C. K., Glad, I. K., Godtliebsen, F., Marron, J. S. (1998). Edge-preserving smoothers for image processing. J. Amer. Statist. Assoc. 93, 526-541.
  • Müller, Ch.H. (2002). Robust estimators for estimating discontinuous functions. Metrika 55, 99-109.
  • Müller, Ch.H. (2002). Comparison of high-breakdown-point estimators for image denoising. Allg. Stat. Archiv 86, 307-321.
  • Hillebrand, M. and Ch.H. Müller (2006). On consistency of redescending M-kernel smoothers. Metrika 63, 71 - 90.
  • Hillebrand, M. and Ch.H. Müller ((2007). Outlier robust corner-preserving methods for reconstructing noisy images. Ann. Statist. 35, 132-165.

1. epsi.zip is an old zip file of the old Window version which could be called by "packages".

2. epsi_2009.zip is a new zip file of the new Window version which can be called by "packages".

3. epsi_1.0-1.tar.gz contains the original files and the package is installed under UNIX by the command "R CMD INSTALL epsi".

 

 

R-package edci for edge detection and clustering in images

This R package provides R functions for detection of pixel positions close to edges and for finding regression clusters within these pixel positions which provides the true edges. The package provides not only functions for detection of linear edges but also for detection of circles. These functions were developed in the DFG project Mu 1031/4-1/2 and are described in more detail in:

  • Qiu, P. (1997). Nonparametric estimation of jump surface. The Indian Journal of Statistics 59, Series A, 268-294.
  • Garlipp, T. and Müller, Ch. H. (2004). Regression Clustering with Redescending M-Estimators. In: Daniel Baier and Klaus-Dieter Wernecke (eds.): Innovations in Classification, Data Science, and Information Systems. Springer-Verlag, Heidelberg, 38-45.
  • Müller, Ch.H. and T. Garlipp (2005). Simple consistent cluster methods based on redescending M-estimators with an application to edge identification in images. Journal of Multivariate Analysis 92, 359-385.
  • Garlipp, T. and Müller, Ch.H. (2006). Detection of linear and circular shapes in image analysis. Computational Statistics and Data Analysis 51, 1479-1490.
  • Garlipp, T. and Müller, Ch.H. (2007). Robust jump detection in regression surface. Sankrya 69, 55-86.

1. edci.zip is an old zip file of the old Window version which could be called by "packages".

2. edci_2009.zip is a new zip file of the new Window version which can be called by "packages".

3. edci_1.0-1.tar.gz contains the old original files and the package is installed under UNIX by the command "R CMD INSTALL edci".

4. edci_1.0-1_2009.zip contains updated original files.

5. edci_1.1-1.tar.gz contains a new version from 2016.

 

 

R-package lsdepth for calculating the Student location-scale depth and the Student median

This R package provides R functions for calculating the Student location-scale depth and the Student median described in the paper "Mizera, I. and Ch.H. Müller (2003). Location-scale depth. Journal of American Statistical Association 99, 949-966.". These functions are based on Theorems 8 and 9 of this paper and do not use the transformation to the Klein disk. In particular, by using Theorem 9, an exact method for calculating the depth contours for continuous distributions is provided. Additionally, functions are included which provide the scale parameter with maximum depth for given location parameters.

1. lsdepth_R_win.zip is a zip file of the Window version which can be called by "packages".

2. lsdepth_R.zip contains the original files and the package is installed under UNIX by the command "R CMD INSTALL lsdepth".

 

 

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