Low DOF Images Segmentation
A curve evolution approach for unsupervised segmetation of images with low depth of field
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Firstly, saliency map is got from original image by using object detection method with a multi-scale reblurring model;
Secondly, the initial curve is got unsupervisedly;
Thirdly, an active contour model which is based on hybrid energy is used to segment the low DOF objects.
Cite As
Jiangyuan Mei (2026). Low DOF Images Segmentation (https://www.mathworks.com/matlabcentral/fileexchange/38622-low-dof-images-segmentation), MATLAB Central File Exchange. Retrieved .
Categories
Find more on Geometric Transformation and Image Registration in Help Center and MATLAB Answers
General Information
- Version 1.0.0.0 (267 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
