segment {EBImage} | R Documentation |
Fucntions to segment images and detect edges.
## S4 method for signature 'Image': edge(x, r=0, ...) ## S4 method for signature 'Image': segment(x, cl=10, s=1.5, ...)
x |
An object of Image . |
r |
The radius of the pixel neighbourhood to take into account. The 0 value enables automatic radius selection. |
cl |
Minimum cluster size in pixels . |
s |
The smoothing threshold. |
... |
Reserved. |
edge
returns an image of edges between different colours in the
original image. Most effective on binary images.
segment
segment an image by analyzing the histograms of the color
components and identifying units that are homogeneous with the fuzzy
C-means technique (source and implementation ImageMagick
). The
smoothing threshold eliminates noise in the second derivative of the
histogram. As the value is increased, you can expect a smoother second
derivative.
A transformed image in an object of Image
.
Oleg Sklyar, osklyar@ebi.ac.uk, 2005-2006
ImageMagick: http://www.imagemagick.org.