Performance Analysis of Region-based and watershed Segmentation Techniques using Blood Smear Images
Year: 2026
Type: article
Abstract: Image segmentation plays a significant role in medical image analysis by partitioning an image into meaningful regions that facilitate the identification and analysis of anatomical structures. It remains an active area of research due to the numerous challenges associated with accurately partitioning images into distinct regions. Accurate segmentation of blood smear images is essential for computer-aided diagnosis, disease detection, and hematological analysis. This study presents a comparative performance analysis of two widely used image segmentation techniques, namely Region-Based Segmentation and Watershed Segmentation, using blood smear images. The segmentation performance is quantitatively evaluated using standard metrics, including the Jaccard Coefficient, Dice Coefficient, True Positive Rate (TPR), and True Negative Rate (TNR). Keywords: Region-based segmentation; Watershed segmentation; Jaccard coefficient; Dice coefficient
Author: Mariena A A
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7203910302