segment {EBImage} | R Documentation

## Segmentation and edge detection

### Description

Fucntions to segment images and detect edges.

### Usage

      ## S4 method for signature 'Image':
      edge(x, r=0, ...)
      ## S4 method for signature 'Image':
      segment(x, cl=10, s=1.5, ...)
      ## FIXME: 'fill' implemented incorrectly because of unclear API
      ## S4 method for signature 'Image':
      fill(x, col, xoff, yoff, fuzz=10, method="floodfill", ...)

### Arguments

`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.
`col` | The fill colour in any format (`character`, gray value or integer byte-coded value).
`xoff, yoff` | The point at which to start the fill.
`fuzz` | Colour tolerance, within this interval the colours are considered the same.
`method` | Fill method.
`...` | Reserved.

### Details

`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.

`fill` should allow colour fill, but ImageMagick API is not clear and the current implementation does not seem to produce any reasonable result. Therefore the function will currently produce an error message, should be corrected in future releases.

### Value

A transformed image in an object of `Image`.

### Author(s)

Oleg Sklyar, osklyar@ebi.ac.uk, 2005-2006

### References

ImageMagick: http://www.imagemagick.org.

### See Also

`Image`

[Package EBImage version 2.2.0 Index]