edci: Edge Detection and Clustering in Images

Share:

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.

Author
Tim Garlipp <TimGarlipp@gmx.de>
Date of publication
2016-08-24 18:38:30
Maintainer
Dominik Kirchhoff <dominik.kirchhoff@tu-dortmund.de>
License
GPL-2
Version
1.1-2

View on CRAN

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

Files in this package

edci
edci/src
edci/src/statist.cc
edci/src/oregMclust.cc
edci/src/statist.h
edci/src/edgepoints.cc
edci/NAMESPACE
edci/R
edci/R/edgepoints.R
edci/R/oregMclust.R
edci/R/edgecluster.R
edci/MD5
edci/DESCRIPTION
edci/man
edci/man/edgecluster.Rd
edci/man/deldupMclust.Rd
edci/man/circMclust.Rd
edci/man/eplist.Rd
edci/man/edgepoints.Rd
edci/man/oregMclust.Rd
edci/man/bestMclust.Rd