Low DOF Images Segmentation

Version 1.0.0.0 (267 KB) by Jiangyuan Mei
A curve evolution approach for unsupervised segmetation of images with low depth of field
5.0
(1)
810 Downloads
Updated 16 Oct 2012

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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 (2024). Low DOF Images Segmentation (https://www.mathworks.com/matlabcentral/fileexchange/38622-low-dof-images-segmentation), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2008b
Compatible with any release
Platform Compatibility
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Unsupervised Low DOF Images Segmentation/

Version Published Release Notes
1.0.0.0