edci: Edge Detection and Clustering in Images
Version 1.1-2

Detection of edge points in images based on the difference of two asymmetric M-kernel estimators. Linear and circular regression clustering based on redescending M-estimators. Detection of linear edges in images.

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AuthorTim Garlipp <TimGarlipp@gmx.de>
Date of publication2016-08-24 18:38:30
MaintainerDominik Kirchhoff <dominik.kirchhoff@tu-dortmund.de>
LicenseGPL-2
Version1.1-2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("edci")

Man pages

bestMclust: Choose 'best' clusters
circMclust: Circular Clustering
deldupMclust: Delete duplicate found clusters
edgecluster: Edge detection in noisy images
edgepoints: Edge detection in noisy images
eplist: Conversion of matrices returned by edgepoints
oregMclust: Orthogonal Regression Clustering

Functions

bestMclust Man page Source code
circMclust Man page Source code
deldupMclust Man page Source code
edgecluster Man page Source code
edgepoints Man page Source code
envMclust Man page Source code
eplist Man page Source code
oregMclust Man page Source code
plot.circMclust Man page Source code
plot.oregMclust Man page Source code
print.circMclust Man page Source code
print.oregMclust Man page Source code
projMclust Man page Source code
regparm Man page Source code

Files

src
src/statist.cc
src/oregMclust.cc
src/statist.h
src/edgepoints.cc
NAMESPACE
R
R/edgepoints.R
R/oregMclust.R
R/edgecluster.R
MD5
DESCRIPTION
man
man/edgecluster.Rd
man/deldupMclust.Rd
man/circMclust.Rd
man/eplist.Rd
man/edgepoints.Rd
man/oregMclust.Rd
man/bestMclust.Rd
edci documentation built on May 19, 2017, 12:52 p.m.