Counting of flowers based on K-means clustering and watershed segmentation

DOI10.12941/jksiam.2023.27.146MaRDI QIDQ6647958

Pan Zhao, Byeong-Chun Shin

Publication date: 3 December 2024

Published in: Journal of the Korean Society for Industrial and Applied Mathematics (Search for Journal in Brave)

zbMATH Keywords

watershed segmentationdistance transformK-means clusteringconnected component analysis

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• On constrained spectral clustering and its applications
• Centrosymmetric (Cross-Symmetric) Matrices, Their Basic Properties, Eigenvalues, and Eigenvectors
• The estimation of the gradient of a density function, with applications in pattern recognition
• Detection and counting of flowers based on digital images using computer vision and a concave point detection technique

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