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Geodesic active contours with point correspondence have been used for iris segmentation in [4].
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Snake approach has been used for iris localization in [6].
In recent years, active contour model have been used for iris detection purposes.
As we mentioned briefly in Section 1, Daugman, in [5], proposed a method for iris segmentation using Snake model [21].
Another related work is Ross and Shah in [6], who use geodesic active contour models for iris segmentation.
Another contribution of this paper is the utilization of pointwise level set approach with area preserving capability for iris segmentation and localization.
An alternative for iris segmentation and localization has been proposed by Camus and Wildes [3], which is based on edge detection operator, followed by Hough transform.
A novel intelligent reference method for iris segmentation-level fusion is presented, which uses a learning-based approach predicting ground truth segmentation performance from quality indicators and model-based fusion to create combined boundaries.
The following paragraphs will briefly discuss several existing segmentation techniques used for medical image segmentation.
Threshold-based method was used for the segmentation of ribs.
Clustering can be used for image segmentation.
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