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Software

EDISON - click to go back to results - 

Developer

Rutgers University, Robust Image Understanding Lab

Website

http://www.caip.rutgers.edu/riul/research/robust.html

Algorithm

Mean shift based image segmenter

Field of application

Colour images

Fundamental reference

Comanicu D, Meer P (2002) Mean shift: A robust approach toward feature space analysis. IEEE Trans Pattern Anal Machine Intell, 24, pp. 603-619.

State of development

04/2003

Operating system

Win, Linux, Unix

System environment

Stand-alone

Number of parameters

3

Ca. runtime2 , 3  

< 5 min

Reproduce­ability 4

No

Classification support

No

Max. image size (ca. Pixel)2

3,000 x 3,000

Max. bit depth

16

Input formats

Raster (TIFF, BMP, PNG, JPEG)

Vector output format

No (external conversion)

Use of external data

No

Availability

Freeware

1 Parenthesised number: especially relevant segmentation parameters; 2 Specification heavily depends on system resources, parti­cularly main memory; 3 Specifications for the used imagery (2,000 by 2,000 Pixel); 4 When image size is modified; 5 With GDAL-plug-in installed other formats useable, e. g. GeoTIFF, IMG