Diya Chudasama

Papers

Total Citations

113

H-Index

About

Diya Chudasama is a researcher in computer vision and digital image processing, with a particular focus on image segmentation and morphological analysis. Her most-cited work, "Image Segmentation using Morphological Operations" (2015), has garnered 113 citations and stands as a foundational contribution to the field. In this paper, Chudasama advances the process of partitioning digital images into homogeneous regions, enabling the extraction of meaningful features for analysis. Her work addresses a core challenge in computer vision—how to reliably separate distinct objects or structures within an image—by leveraging morphological techniques that enhance segmentation accuracy. This contribution has proven valuable across applications ranging from medical imaging to autonomous systems. Chudasama’s research underscores the importance of robust preprocessing and feature extraction in visual data interpretation. With over a hundred citations, her work continues to influence subsequent studies in image analysis, demonstrating her role in advancing practical methodologies for digital image processing.