This MATLAB code is the latest version of Seeded Laplacian approach for interactive image segmentation. This version doesn't include the robot-user evaluation part, we plan to release that soon. It is important to note that this code needs a lot of refactoring and style improvement. It is just pushed for those interested in verifying its results. I plan to push further commit with better documentation and style.
This code works with the collection of annotated datasets of images we prepared. This collection comprise of
- Geodesic Star Convexity
- Weizmann Horses
- Weizmann Single Object
- Weizmann Two objects
- BSD 100
You can download the collected annotated datasets from this link. For copyright purpose, we don't distribute the original or ground-truth images. If you can't find these online, you can contact us to help you with that.
| Method | Geodesic | Horses | Single | Two | BSD 100 |
|---|---|---|---|---|---|
| BJ | 0.49 ± 0.26 | 0.60 ± 0.23 | 0.66 ± 0.24 | 0.48 ± 0.27 | 0.53 ± 0.25 |
| RW | 0.53 ± 0.21 | 0.55 ± 0.15 | 0.42 ± 0.26 | 0.63 ± 0.25 | 0.49 ± 0.23 |
| PP | 0.59 ± 0.25 | 0.60 ± 0.24 | 0.68 ± 0.23 | 0.71 ± 0.25 | 0.59 ± 0.24 |
| RW | 0.61 ± 0.25 | 0.57 ± 0.22 | 0.69 ± 0.23 | 0.70 ± 0.25 | 0.57 ± 0.25 |
| GSC | 0.61 ± 0.24 | 0.55 ± 0.21 | 0.67 ± 0.22 | 0.68 ± 0.25 | 0.56 ± 0.25 |
| ESC | 0.56 ± 0.16 | 0.51 ± 0.11 | 0.48 ± 0.16 | 0.61 ± 0.20 | 0.52 ± 0.15 |
| SP-IG | 0.59 ± 0.22 | 0.48 ± 0.20 | 0.57 ± 0.24 | 0.60 ± 0.25 | 0.55 ± 0.23 |
| SP-SIG | 0.62 ± 0.17 | 0.57 ± 0.12 | 0.57 ± 0.18 | 0.70 ± 0.18 | 0.59 ± 0.15 |
| SL | 0.69 ± 0.17 | 0.63 ± 0.15 | 0.72 ± 0.17 | 0.75 ± 0.17 | 0.64 ± 0.17 |
- Download the latest push.
- Run the scribble_script MATLAB script file
For help, please contact ahmdtaha [@] cs dot umd dot edu
Copyright (c) 2016, Ahmed Taha (ahmdtaha [@] cs dot umd dot edu) All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
- Re distributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
- Re distributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
- scribble_script
- scribble_image {for each image} , return Jaccard Index
- colorandspatialaffinity {calculate features and eFunc} , return filled Image and erroded Image.
- Currently Feature Vector contains {RGB Affinity_Distance Affinity_LAB Affinity_IC Affinity (neg - pos) ,LAB,RGB}
- processf_efunc(efunc) , return filled Image
- if input percentile = -1 then processf_efunc calculate min_percentile plot else processf_efunc uses the input parameter
- scribble_image {for each image} , return Jaccard Index