Workflow Type:  Galaxy
        
  
        
          
            
              
    
      
        
        
    
    
      
        
        
    
    
      
        
        
    
            
          
        
        
      
  
    
      
        
      
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Modified workflow to perform Voronoi segmentation, based on https://usegalaxy.eu/published/workflow?id=23030421cd9fcfb2.
Input requirements:
- RA: -- right ascension in degrees as a float number.
- Dec: -- Declination in degrees as a float number
- Radius: -- the radius of the cone to be queried in arcminutes as a float number
- Pixel size: -- the size of the pixel in arcseconds
- Band: -- the band (channel) of the image: g, r, z, i
Inputs
| ID | Name | Description | Type | 
|---|---|---|---|
| Band | Band | n/a | 
 | 
| Dec | Dec | n/a | 
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| RA | RA | n/a | 
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| Radius (arcmin) | Radius (arcmin) | n/a | 
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| pixel size (arcsec) | pixel size (arcsec) | n/a | 
 | 
Steps
| ID | Name | Description | 
|---|---|---|
| 5 | DESI Legacy Survey | toolshed.g2.bx.psu.edu/repos/astroteam/desi_legacy_survey_astro_tool/desi_legacy_survey_astro_tool/0.0.1+galaxy0 | 
| 6 | astropy fits2bitmap | toolshed.g2.bx.psu.edu/repos/astroteam/astropy_fits2bitmap/astropy_fits2bitmap/0.2.0+galaxy1 | 
| 7 | Split image along axes | toolshed.g2.bx.psu.edu/repos/imgteam/split_image/ip_split_image/2.2.3+galaxy1 | 
| 8 | Select first channel | __EXTRACT_DATASET__ | 
| 9 | Filter 2-D image | toolshed.g2.bx.psu.edu/repos/imgteam/2d_simple_filter/ip_filter_standard/1.12.0+galaxy1 | 
| 10 | Convert image format | toolshed.g2.bx.psu.edu/repos/imgteam/bfconvert/ip_convertimage/6.7.0+galaxy3 | 
| 11 | Perform histogram equalization | toolshed.g2.bx.psu.edu/repos/imgteam/2d_histogram_equalization/ip_histogram_equalization/0.18.1+galaxy0 | 
| 12 | Convert single-channel to multi-channel image | toolshed.g2.bx.psu.edu/repos/imgteam/repeat_channels/repeat_channels/1.26.4+galaxy0 | 
| 13 | Filter 2-D image | toolshed.g2.bx.psu.edu/repos/imgteam/2d_simple_filter/ip_filter_standard/1.12.0+galaxy1 | 
| 14 | Threshold image | toolshed.g2.bx.psu.edu/repos/imgteam/2d_auto_threshold/ip_threshold/0.25.0+galaxy0 | 
| 15 | Threshold image | toolshed.g2.bx.psu.edu/repos/imgteam/2d_auto_threshold/ip_threshold/0.18.1+galaxy3 | 
| 16 | Convert binary image to label map | toolshed.g2.bx.psu.edu/repos/imgteam/binary2labelimage/ip_binary_to_labelimage/0.5+galaxy0 | 
| 17 | Compute Voronoi tessellation | toolshed.g2.bx.psu.edu/repos/imgteam/voronoi_tesselation/voronoi_tessellation/0.22.0+galaxy3 | 
| 18 | Process images using arithmetic expressions | toolshed.g2.bx.psu.edu/repos/imgteam/image_math/image_math/1.26.4+galaxy2 | 
| 19 | Count objects in label map | toolshed.g2.bx.psu.edu/repos/imgteam/count_objects/ip_count_objects/0.0.5-2 | 
| 20 | Extract image features | toolshed.g2.bx.psu.edu/repos/imgteam/2d_feature_extraction/ip_2d_feature_extraction/0.18.1+galaxy0 | 
| 21 | Colorize label map | toolshed.g2.bx.psu.edu/repos/imgteam/colorize_labels/colorize_labels/3.2.1+galaxy3 | 
| 22 | Overlay images | toolshed.g2.bx.psu.edu/repos/imgteam/overlay_images/ip_overlay_images/0.0.4+galaxy4 | 
Outputs
| ID | Name | Description | Type | 
|---|---|---|---|
| Single channel image | Single channel image | n/a | 
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| multi-channel image | multi-channel image | n/a | 
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| Smoothed image | Smoothed image | n/a | 
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| mask | mask | n/a | 
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| label map | label map | n/a | 
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| tesselation | tesselation | n/a | 
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| segmentation | segmentation | n/a | 
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| object count | object count | n/a | 
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| image features | image features | n/a | 
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| colorized label map | colorized label map | n/a | 
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| segmented image | segmented image | n/a | 
 | 
Version History
Version 1 (earliest) Created 13th Jun 2025 at 11:02 by Andrei Variu
Initial commit
Frozen
 Version-1
Version-1a55de5b
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    Citation
  
  
  Variu, A., Massei, R., & Myklebust, E. M. (2025). Voronoi segmentation for Astronomy on Legacy Survey data. WorkflowHub. https://doi.org/10.48546/WORKFLOWHUB.WORKFLOW.1730.1
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Views: 1378 Downloads: 246 Runs: 2
Created: 13th Jun 2025 at 11:02
Last updated: 11th Jul 2025 at 10:42
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