Volume 12, Number 21, November 2022

Research on the Image Segmentation by Watershed Transforms

  Authors

Sidi Ahmed Taouli, University Aboubekr-Belkaid, Algeria

  Abstract

Segmentation is a very important step in medical image processing. The mathematical morphology is very suitable for the pretreatment and segmentation of medical images, which present rich information content. In this work we presented a segmentation paradigm by Watershed preceded by a filtering to eliminate insignificant minima, a marking to remove unmarked minima, and finally we implemented a hierarchical segmentation using the mosaic image of the original image. In principle, watershed segmentation depends on ridges to perform a proper segmentation, a property that is often fulfilled in contour detection where the boundaries of the objects are expressed as ridges. Watershed is normally implemented by region growing, based on a set of markers to avoid over segmentation. The diversity of segmentation offers us several ways to segment the image, always we must look for the right method to get good results.

  Keywords

Image, Filtering, Mathematical Morphology, Watershed, Segmentation.