Attribute Operators for Color Images: Image Segmentation Improved by the Use of Unsupervised Segmentation Evaluation Methods

DOI10.1007/978-3-319-57240-6_20zbMath1479.94047OpenAlexW2607149725MaRDI QIDQ5270556

Franklin César Flores, Sérgio Sousa Filho

Publication date: 23 June 2017

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-57240-6_20

zbMATH Keywords

image segmentationcolor processingattribute filterthresholding decomposition

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• scikit-image
• BSDS

Cites Work

• Unnamed Item
• Unnamed Item
• An overview of morphological filtering
• A comparative study on multivariate mathematical morphology
• Quantitative evaluation of color image segmentation results
• Morphology for Color Images via Loewner Order for Matrix Fields
• Group-Invariant Frames for Colour Morphology
• MATHEMATICAL MORPHOLOGY IN THE CIELAB SPACE

This page was built for publication: Attribute Operators for Color Images: Image Segmentation Improved by the Use of Unsupervised Segmentation Evaluation Methods