Accurate lesion segmentation in retinal imagery is an area of vast research. Of the many segmentation methods
available very few are insensitive to topological changes on noisy surfaces. This paper presents an extension to
earlier work on a novel stopping mechanism for level sets. The elementary features scheme (ELS) in [5] is
extended to include shape entropy as a feature used to ’look back in time’ and find the point at which the curve
best fits the real object. We compare the proposed extension against the original algorithm for timing and
accuracy using 50 randomly selected images of exudates with a database of clinician demarcated boundaries as
ground truth. While this work is presented applied to medical imagery, it can be used for any application
involving the segmentation of bright or dark blobs on noisy images
Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.