Detection and counting of flowers based on digital images using computer vision and a concave point detection technique

DOI10.12941/JKSIAM.2023.27.037MaRDI QIDQ6647952

Byeong-Chun Shin, Pan Zhao

Publication date: 3 December 2024

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

zbMATH Keywords

computer visionellipse fittingpolygon approximationconcave point detectioncorner detectors

Mathematics Subject Classification ID

Computer science (68-XX)

Cites Work

• Title not available (Why is that?)
• Statistical efficiency of curve fitting algorithms
• Curvature scale space representation: Theory, applications, and MPEG-7 standardization
• Splitting touching cells based on concave points and ellipse Fitting
• Parameter estimation techniques: a tutorial with application to conic fitting
• Boundary-based corner detection using eigenvalues of covariance matrices

Related Items (1)

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

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