ItemArticle

Segmentation of overlapping leukemic cells in histopathological images using HSV- based watershed transformation

Title
Segmentation of overlapping leukemic cells in histopathological images using HSV- based watershed transformation
Creator
Salim, Sneha; Vijayalakshmi, A.
Description
Accurate segmentation of white blood cells (WBCs) is essential for computer-aided diagnosis, as overlapping and densely clustered cells often present significant challenges. This work introduces a hybrid framework for segmentation that proposes a fusion of hue and saturation in the Hue Saturation Value (HSV) domain. Gaussian smoothing, Otsu thresholding, and Morphological refinement is employed to enhance cell contrast and eliminate noise. A marker-based watershed algorithm is subsequently applied for accurate separation of overlapping WBCs. Evaluation on the ALL-IDB2 dataset confirms the methods capability through achieving a Dice Similarity Coefficient(DSC) of 0.8929 and an Intersection over Union (IoU) of 0.8099 to produce well-defined cellular boundaries. The novelty of this study lies in the integrated hue-saturation fusion and marker-based watershed strategy, offering improved boundary localization and reliable segmentation of overlapping WBCs. Bharati Vidyapeeth's Institute of Computer Applications and Management 2025.
Source
International Journal of Information Technology (Singapore);
Date
01-01-2025
Publisher
Springer Science and Business Media B.V.
Subject
HSV color space; Marker-Watershed segmentation; Overlapped cells; Segmentation; White blood cells (WBCs)
Coverage
Salim S., Department of Statistics and Data Science, Christ University, Bengaluru, India; Vijayalakshmi A., Department of Statistics and Data Science, Christ University, Bengaluru, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 25112104;
Format
online
Language
English
Type
Article

Citation

Salim, Sneha; Vijayalakshmi, A., “Segmentation of overlapping leukemic cells in histopathological images using HSV- based watershed transformation,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/22106.

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