Modified watershed approach for segmentation of complex optical coherence tomographic images
This is an incremental improvement for medical or agricultural imaging researchers analyzing internal structures in biological samples.
The study tackled the problem of over-segmentation in watershed methods for noisy Optical Coherence Tomography images by proposing a modified watershed algorithm, which achieved promising results for segmenting fluid-filled sacs in a lemon.
Watershed segmentation method has been used in various applications. But many a times, due to its over-segmentation attributes, it underperforms in several tasks where noise is a dominant source. In this study, Optical Coherence Tomography images have been acquired, and segmentation has been performed to analyse the different regions of fluid filled sacs in a lemon. A modified watershed algorithm has been proposed which gives promising results for segmentation of internal lemon structures.