# Modified watershed approach for segmentation of complex optical coherence tomographic images

arXiv: https://arxiv.org/abs/2303.16609 · HTML: https://mlsanity.com/paper/2303.16609/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 16 references that are in the map.
- First posted on arXiv 29 Mar 2023.

## Builds on (most cited first, 2 of 2)

- [Introducing Hann windows for reducing edge-effects in patch-based image segmentation](https://mlsanity.com/paper/1910.07831/) (2019)
- [A Novel Falling-Ball Algorithm for Image Segmentation](https://mlsanity.com/paper/2105.02615/) (2021)

## Abstract (arXiv)

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.