Finding a small number of regions in an image using low-level features

DOI10.1016/S0031-3203(01)00230-8zbMath1006.68909OpenAlexW1994561868MaRDI QIDQ1860204

Martin D. Levine, Hang Fai Lau

Publication date: 20 February 2003

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0031-3203(01)00230-8

zbMATH Keywords

image segmentationthresholdcluster validity indicesnon-parametric clustering

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Computing methodologies and applications (68U99) Machine vision and scene understanding (68T45)

Cites Work

• The combinatorics of object recognition in cluttered environments using constrained search
• Active Robot Vision
• Quantitative evaluation of color image segmentation results
• An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities
• Unnamed Item
• Unnamed Item

This page was built for publication: Finding a small number of regions in an image using low-level features